Name: Flourish Studio Masterclass : Create Animated Visualisation
Price: 11.99 GBP
Availability: InStock

<p>Dive deep into the vast realm of Python data science with our meticulously crafted course: '<strong>Python Data Science with Numpy, Pandas and Matplotlib</strong>'. Explore the intricate details of Python, setting the stage with Pandas and Numpy, before delving into the power of Python data structures. With topics ranging from Python Strings to Matplotlib Histograms, you'll gain a holistic insight, ensuring that every dataset you touch unveils its story compellingly. So, if you're keen on transmuting raw data into visual masterpieces or insights, this journey is tailor-made for you.</p>
<p><strong>Learning Outcomes</strong></p>
<ul>
<li>Grasp foundational knowledge of Python and its data structures like strings, lists, and dictionaries.</li>
<li>Understand the potential of NumPy, from basic array operations to handling multi-dimensional arrays.</li>
<li>Master the versatility of Pandas, encompassing everything from dataframe conversions to intricate operations like aggregation and binning.</li>
<li>Efficiently manage, manipulate, and transform data using Pandas' diverse functionalities.</li>
<li>Create visually striking and informative graphs using the power of Matplotlib.</li>
</ul>
<h3><b>Why buy this Python Data Science with Numpy, Pandas and Matplotlib<span> course</span>?</b></h3>
<ol>
<li><span>Unlimited access to the course for forever</span></li>
<li><b>Digital Certificate, Transcript, student ID</b><span> all included in the price</span></li>
<li><span>Absolutely no hidden fees</span></li>
<li><span>Directly receive </span><b>CPD </b><span>accredited qualifications after course completion</span></li>
<li><span>Receive one to one assistance on every weekday from professionals</span></li>
<li><span>Immediately receive the PDF certificate after passing</span></li>
<li><span>Receive the original copies of your certificate and transcript on the next working day</span></li>
<li><span>Easily learn the skills and knowledge from the comfort of your home</span></li>
</ol>
<h3><b>Certification</b></h3>
<p><span>After studying the course materials of the </span><b>Python Data Science with Numpy, Pandas and Matplotlib</b><span> there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60.</span></p>
<h3><b>Who is this Python Data Science with Numpy, Pandas and Matplotlib<span> </span></b><b><span>course </span></b><b>for?</b></h3>
<ul>
<li>Beginners eager to jumpstart their journey in Python data science.</li>
<li>Analysts looking to enhance their data manipulation skills using Python.</li>
<li>Statisticians keen on expanding their toolset with Python-based libraries.</li>
<li>Data enthusiasts desiring a deep dive into Python's data libraries and structures.</li>
<li>Professionals aiming to upgrade their data visualisation techniques.</li>
</ul>
<h3><b>Prerequisites</b></h3>
<p><span>This </span><b>Python Data Science with Numpy, Pandas and Matplotlib</b><span> does not require you to have any prior qualifications or experience. You can just enrol and start learning.This </span><b>Python Data Science with Numpy, Pandas and Matplotlib</b><span> was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection.</span></p>
<h3><b>Career path</b></h3>
<ul>
<li><strong>Data Scientist</strong>: £40,000 - £80,000</li>
<li><strong>Python Developer</strong>: £35,000 - £70,000</li>
<li><strong>Data Analyst</strong>: £30,000 - £55,000</li>
<li><strong>Business Intelligence Analyst</strong>: £32,000 - £60,000</li>
<li><strong>Research Analyst</strong>: £28,000 - £52,000</li>
<li><strong>Data Visualization Engineer</strong>: £33,000 - £65,000</li>
</ul><div>
				<h3>
	<span>Course Curriculum</span>
</h3>

<div>
<table width="100%">				<tbody><tr>
					<td colspan="4">Course Introduction and Table of Contents</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Course Introduction and Table of Contents</td>
					<td> </td>
					<td><span><i></i> 00:09:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Introduction to Python, Pandas and Numpy</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Introduction to Python, Pandas and Numpy</td>
					<td> </td>
					<td><span><i></i> 00:07:00</span></td>
				</tr>
								<tr>
					<td colspan="4">System and Environment Setup</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>System and Environment Setup</td>
					<td> </td>
					<td><span><i></i> 00:08:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Python Strings</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Python Strings - Part 1</td>
					<td> </td>
					<td><span><i></i> 00:11:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Python Strings - Part 2</td>
					<td> </td>
					<td><span><i></i> 00:09:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Python Numbers and Operators</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Python Numbers and Operators - Part 1</td>
					<td> </td>
					<td><span><i></i> 00:06:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Python Numbers and Operators - Part 2</td>
					<td> </td>
					<td><span><i></i> 00:07:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Python Lists</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Python Lists - Part 1</td>
					<td> </td>
					<td><span><i></i> 00:05:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Python Lists - Part 2</td>
					<td> </td>
					<td><span><i></i> 00:06:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Python Lists - Part 3</td>
					<td> </td>
					<td><span><i></i> 00:05:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Python Lists - Part 4</td>
					<td> </td>
					<td><span><i></i> 00:07:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Python Lists - Part 5</td>
					<td> </td>
					<td><span><i></i> 00:07:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Tuples in Python</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Tuples in Python</td>
					<td> </td>
					<td><span><i></i> 00:06:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Sets in Python</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Sets in Python - Part 1</td>
					<td> </td>
					<td><span><i></i> 00:05:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Sets in Python - Part 2</td>
					<td> </td>
					<td><span><i></i> 00:04:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Python Dictionary</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Python Dictionary - Part 1</td>
					<td> </td>
					<td><span><i></i> 00:07:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Python Dictionary - Part 2</td>
					<td> </td>
					<td><span><i></i> 00:07:00</span></td>
				</tr>
								<tr>
					<td colspan="4">NumPy Library - Introduction</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>NumPy Library Intro - Part 1</td>
					<td> </td>
					<td><span><i></i> 00:05:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>NumPy Library Intro - Part 2</td>
					<td> </td>
					<td><span><i></i> 00:05:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>NumPy Library Intro - Part 3</td>
					<td> </td>
					<td><span><i></i> 00:06:00</span></td>
				</tr>
								<tr>
					<td colspan="4">NumPy Array Operations and Indexing</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>NumPy Array Operations and Indexing - Part 1</td>
					<td> </td>
					<td><span><i></i> 00:04:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>NumPy Array Operations and Indexing - Part 2</td>
					<td> </td>
					<td><span><i></i> 00:06:00</span></td>
				</tr>
								<tr>
					<td colspan="4">NumPy Multi-Dimensional Arrays</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>NumPy Multi-Dimensional Arrays - Part 1</td>
					<td> </td>
					<td><span><i></i> 00:07:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>NumPy Multi-Dimensional Arrays - Part 2</td>
					<td> </td>
					<td><span><i></i> 00:06:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>NumPy Multi-Dimensional Arrays - Part 3</td>
					<td> </td>
					<td><span><i></i> 00:05:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Introduction to Pandas Series</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Introduction to Pandas Series</td>
					<td> </td>
					<td><span><i></i> 00:08:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Introduction to Pandas Dataframes</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Introduction to Pandas Dataframes</td>
					<td> </td>
					<td><span><i></i> 00:07:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Pandas Dataframe conversion and drop</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Pandas Dataframe conversion and drop - Part 1</td>
					<td> </td>
					<td><span><i></i> 00:06:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Pandas Dataframe conversion and drop - Part 2</td>
					<td> </td>
					<td><span><i></i> 00:06:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Pandas Dataframe conversion and drop - Part 3</td>
					<td> </td>
					<td><span><i></i> 00:07:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Pandas Dataframe summary and selection</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Pandas Dataframe summary and selection - Part 1</td>
					<td> </td>
					<td><span><i></i> 00:06:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Pandas Dataframe summary and selection - Part 2</td>
					<td> </td>
					<td><span><i></i> 00:06:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Pandas Dataframe summary and selection - Part 3</td>
					<td> </td>
					<td><span><i></i> 00:07:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Pandas Missing Data Management and Sorting</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Pandas Missing Data Management and Sorting - Part 1</td>
					<td> </td>
					<td><span><i></i> 00:07:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Pandas Missing Data Management and Sorting - Part 2</td>
					<td> </td>
					<td><span><i></i> 00:07:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Pandas Hierarchical-Multi Indexing</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Pandas Hierarchical-Multi Indexing</td>
					<td> </td>
					<td><span><i></i> 00:06:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Pandas CSV File Read Write</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Pandas CSV File Read Write - Part 1</td>
					<td> </td>
					<td><span><i></i> 00:05:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Pandas CSV File Read Write - Part 2</td>
					<td> </td>
					<td><span><i></i> 00:07:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Pandas JSON File Read Write</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Pandas JSON File Read Write Operations</td>
					<td> </td>
					<td><span><i></i> 00:07:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Pandas Concatenation Merging and Joining</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Pandas Concatenation Merging and Joining - Part 1</td>
					<td> </td>
					<td><span><i></i> 00:05:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Pandas Concatenation Merging and Joining - Part 2</td>
					<td> </td>
					<td><span><i></i> 00:04:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Pandas Concatenation Merging and Joining - Part 3</td>
					<td> </td>
					<td><span><i></i> 00:04:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Pandas Stacking and Pivoting</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Pandas Stacking and Pivoting - Part 1</td>
					<td> </td>
					<td><span><i></i> 00:06:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Pandas Stacking and Pivoting - Part 2</td>
					<td> </td>
					<td><span><i></i> 00:05:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Pandas Duplicate Data Management</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Pandas Duplicate Data Management</td>
					<td> </td>
					<td><span><i></i> 00:07:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Pandas Mapping</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Pandas Mapping</td>
					<td> </td>
					<td><span><i></i> 00:04:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Pandas Grouping</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Pandas Groupby</td>
					<td> </td>
					<td><span><i></i> 00:06:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Pandas Aggregation</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Pandas Aggregation</td>
					<td> </td>
					<td><span><i></i> 00:09:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Pandas Binning or Bucketing</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Pandas Binning or Bucketing</td>
					<td> </td>
					<td><span><i></i> 00:08:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Pandas Re-index and Rename</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Pandas Re-index and Rename - Part 1</td>
					<td> </td>
					<td><span><i></i> 00:04:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Pandas Re-index and Rename - Part 2</td>
					<td> </td>
					<td><span><i></i> 00:05:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Pandas Replace Values</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Pandas Replace Values</td>
					<td> </td>
					<td><span><i></i> 00:05:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Pandas Dataframe Metrics</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Pandas Dataframe Metrics</td>
					<td> </td>
					<td><span><i></i> 00:07:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Pandas Random Permutation</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Pandas Random Permutation</td>
					<td> </td>
					<td><span><i></i> 00:08:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Pandas Excel sheet Import</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Pandas Excel sheet Import</td>
					<td> </td>
					<td><span><i></i> 00:07:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Pandas Condition Selection and Lambda Function</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Pandas Condition Selection and Lambda Function - Part 1</td>
					<td> </td>
					<td><span><i></i> 00:05:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Pandas Condition Selection and Lambda Function - Part 2</td>
					<td> </td>
					<td><span><i></i> 00:05:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Pandas Ranks Min Max</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Pandas Ranks Min Max</td>
					<td> </td>
					<td><span><i></i> 00:06:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Pandas Cross Tabulation</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Pandas Cross Tabulation</td>
					<td> </td>
					<td><span><i></i> 00:07:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Matplotlib Graphs and plots</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Graphs and plots using Matplotlib - Part 1</td>
					<td> </td>
					<td><span><i></i> 00:06:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Graphs and plots using Matplotlib - Part 2</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Matplotlib Histograms</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Matplotlib Histograms</td>
					<td> </td>
					<td><span><i></i> 00:03:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Resource File</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Resource File - Python Data Science with Numpy, Pandas and Matplotlib</td>
					<td> </td>
					<td><span><i></i> 00:00:00</span></td>
				</tr>
				</tbody></table></div>

			</div>

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Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3

<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">[Updated 2022]</strong></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Microsoft Excel 2019: from ZERO to ADVANCED</strong></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Working knowledge of Excel is vital for most office-based professionals today, and stronger Excel skills can open the door to jobs, promotions, and leadership opportunities.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">For example, if basic SUM and AVERAGE functions can help businesses calculate and analyse data better and quicker, think about how much more efficient advanced functions can make you. And to make you efficient and better at work, our Microsoft Excel experts have designed this Microsoft Excel course.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Curriculum</strong></p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Microsoft Excel 2019 New Features</li><li fr-original-style="" style="box-sizing: border-box;">Getting Started with Microsoft Office Excel</li><li fr-original-style="" style="box-sizing: border-box;">Performing Calculations</li><li fr-original-style="" style="box-sizing: border-box;">Modifying a Worksheet</li><li fr-original-style="" style="box-sizing: border-box;">Formatting a Worksheet</li><li fr-original-style="" style="box-sizing: border-box;">Printing Workbooks</li><li fr-original-style="" style="box-sizing: border-box;">Managing Workbooks</li><li fr-original-style="" style="box-sizing: border-box;">Working with Functions</li><li fr-original-style="" style="box-sizing: border-box;">Working with Lists</li><li fr-original-style="" style="box-sizing: border-box;">Analyzing Data</li><li fr-original-style="" style="box-sizing: border-box;">Visualizing Data with Charts</li><li fr-original-style="" style="box-sizing: border-box;">Using PivotTables and PivotCharts</li><li fr-original-style="" style="box-sizing: border-box;">Working with Multiple Worksheets and Workbooks</li><li fr-original-style="" style="box-sizing: border-box;">Using Lookup Functions and Formula Auditing</li><li fr-original-style="" style="box-sizing: border-box;">Sharing and Protecting Workbooks</li><li fr-original-style="" style="box-sizing: border-box;">Automating Workbook Functionality</li><li fr-original-style="" style="box-sizing: border-box;">Creating Sparklines and Mapping Data</li><li fr-original-style="" style="box-sizing: border-box;">Forecasting Data</li><li fr-original-style="" style="box-sizing: border-box;">Excel Templates</li></ul><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Learning Outcomes</strong></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">By the end of this course, you&#39;ll learn the following skills:</p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Perform various calculations and get results in seconds rather than doing them manually</li><li fr-original-style="" style="box-sizing: border-box;">Gain the ability to modify and format worksheets and learn to print and manage workbooks</li><li fr-original-style="" style="box-sizing: border-box;">Learn various functions and how to work with lists</li><li fr-original-style="" style="box-sizing: border-box;">Become an expert on data analysis 2019 features</li><li fr-original-style="" style="box-sizing: border-box;">Learn to use visual elements like charts and data visualisation to see and understand trends, outliers, and patterns in data</li><li fr-original-style="" style="box-sizing: border-box;">How to present data using PivotTables and PivotCharts as well as working with multiple worksheets and workbooks</li><li fr-original-style="" style="box-sizing: border-box;">Using lookup functions and formula auditing, sharing and protecting workbooks, automating workbook functionality</li><li fr-original-style="" style="box-sizing: border-box;">How to forecast data, create sparklines and mapping, usage of various Microsoft Excel templates</li></ul><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Key Features of the Microsoft Excel Course :</strong></p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Accredited by CPD</li><li fr-original-style="" style="box-sizing: border-box;">Instant e-certificate and hard copy dispatch by next working day</li><li fr-original-style="" style="box-sizing: border-box;">Fully online, interactive course with audio voiceover</li><li fr-original-style="" style="box-sizing: border-box;">Developed by qualified professionals in the field</li><li fr-original-style="" style="box-sizing: border-box;">Self-paced learning and laptop, tablet, smartphone-friendly</li><li fr-original-style="" style="box-sizing: border-box;">24/7 Learning Assistance</li><li fr-original-style="" style="box-sizing: border-box;">Discounts on bulk purchases</li></ul><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Accreditation</strong></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">All of our courses, including this course<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">, </strong>are fully accredited, providing you with up-to-date skills and knowledge and helping you to become more competent and effective in your chosen field.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Certification</strong></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Once you&#39;ve successfully completed your course, you will immediately be sent a digital certificate. Also, you can have your printed certificate delivered by post (shipping cost &pound;3.99). Our certifications have no expiry dates, although we do recommend that you renew them every 12 months.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Assessment</strong></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">At the end of the course, there will be an online assessment, which you will need to pass to complete the course. Answers are marked instantly and automatically, allowing you to know straight away whether you have passed the course.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">*** Additional Gifts ***</strong></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Free Life coaching Course</strong></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">This Microsoft Excel Skills course is designed for people with a career in Accounting, Finance, Marketing, Sales, Executive, Administration, Business Management, Manager, Human Resources, Customer Service, Assistant, and Reception.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">In this course, we will go in-depth into Microsoft Excel applications, which are delivered in a simple way to be understood.</p><h2 fr-original-style="" style="box-sizing: border-box;">
        
        <div fr-original-style="" style="box-sizing: border-box;">CPD</div>
    </h2>

                        <div id="cpd" fr-original-style="" style="box-sizing: border-box;">
                            <div fr-original-style="" style="box-sizing: border-box;">
                                <div fr-original-style="" style="box-sizing: border-box;">
                                    <div fr-original-style="" style="box-sizing: border-box;">
                                        15 CPD hours / points
                                    </div>
                                        <div fr-original-style="" style="box-sizing: border-box;">
                                            Accredited by CPD Quality Standards
                                        </div>
                                </div>
                            </div>
                        </div><h2 fr-original-style="" style="box-sizing: border-box;">
        
        <div fr-original-style="" style="box-sizing: border-box;">Career path</div>
    </h2>

                        <div id="career_path" fr-original-style="" style="box-sizing: border-box;">
                            <p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">No matter where you are or what you do, if you are working with digital data, having Microsoft Excel skills is a must. With skills, you can explore opportunities everywhere, including-</p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Administrative Assistant</li><li fr-original-style="" style="box-sizing: border-box;">Accountants</li><li fr-original-style="" style="box-sizing: border-box;">Retail Manager</li><li fr-original-style="" style="box-sizing: border-box;">Cost Estimator</li><li fr-original-style="" style="box-sizing: border-box;">Financial Analyst</li><li fr-original-style="" style="box-sizing: border-box;">Project Manager</li><li fr-original-style="" style="box-sizing: border-box;">Business Analyst</li><li fr-original-style="" style="box-sizing: border-box;">Data Journalist</li></ul><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">And much more!</p>
                        </div><h2 fr-original-style="" style="box-sizing: border-box;">
        
        <div fr-original-style="" style="box-sizing: border-box;">Certificates</div>
    </h2>

                        <div id="optional_extras" fr-original-style="" style="box-sizing: border-box;">
                                    <h4 fr-original-style="" style="box-sizing: border-box;">Certificate of completion</h4>
        <p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">
            Digital certificate -
            Included
        </p>
        <h4 fr-original-style="" style="box-sizing: border-box;">Certificate of completion</h4>
        <p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">
            Hard copy certificate -
            Included
        </p>
            <div fr-original-style="" style="box-sizing: border-box;"> <p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">You will get the hard copy certificates for Free! The delivery charge of the hard copy certificate inside the UK is &pound;3.99 each.</p> </div>

                        </div>

Training Express

Office Skills & Productivity

Data Entry Skills

Professional Skills

Computer Skills

Microsoft Excel: from ZERO to ADVANCED Course

Ideas Into Action

Power Query

Pivot Table

Power Query and Power Pivot in Microsoft Excel: 
A Quickstart Guide


Course Gate

Media Studies

Career Development

Freelance Journalism

Professional Skills Course (PSC)

Journalism

Basic Security Training (BST)

Basic Life Support (BLS)

Bar Professional Training Course (BPTC)

Life Coach Training

Health Coach Training

Studyhub Lifetime Prime Membership

Certificate in Further Education & Training (Cert Ed)

Data Visualization

Professional Development

Visual Design

Digital Skills

Flourish Studio Masterclass : Create Animated Visualisation

<p><strong>***24 Hour Limited Time Flash Sale***</strong></p><p><strong> </strong><strong>Data Visualisation Professional - CPD Certified </strong><strong>Admission Gifts </strong></p><p><strong> FREE PDF &amp; Hard Copy Certificate| PDF Transcripts| FREE Student ID| Assessment| Lifetime Access| Enrolment Letter</strong></p><p>Are you a professional feeling stuck in your career, struggling to keep up with the ever-changing demands of the industry? Or perhaps you're a beginner, unsure of where to start or how to break into your desired field. Whichever stage you're in, our exclusive Data Visualisation Professional - CPD Certified Bundle provides unique insights and tools that can help you achieve your goals.</p><p>Designed to cater to the needs of both seasoned professionals and aspiring newcomers, our Data Visualisation Professional - CPD Certified bundle is a comprehensive program that will equip you with the essential skills and knowledge you need to succeed. Whether you're looking to advance in your current role or embark on a new career journey, this bundle has everything you need to take your professional life to the next level.</p><p><strong>But that's not all. When you enrol in Data Visualisation Professional - CPD Certified Online Training, you'll receive 30 CPD-Accredited PDF Certificates, Hard Copy Certificates, and our exclusive student ID card, all absolutely free.</strong></p><p><strong>Courses Are Included In this Data Visualisation Professional - CPD Certified Career Bundle:</strong></p><ul><li> Course 01: Master JavaScript with Data Visualization</li><li> Course 02: SQL for Data Science, Data Analytics and Data Visualization</li><li> Course 03: Spatial Data Visualization and Machine Learning in Python</li><li> Course 04: Data Analysis</li><li> Course 05: Excel Data Analysis</li><li> Course 06: Excel Pivot Tables, Pivot Charts, Slicers, and Timelines</li><li> Course 07: Python Programming Bible</li><li> Course 08: Python Data Science with Numpy, Pandas and Matplotlib</li><li> Course 09: Data Science &amp; Machine Learning with Python</li><li> Course 10: Statistics &amp; Probability for Data Science &amp; Machine Learning</li><li> Course 11: R Programming for Data Science</li><li> Course 12: Quick Data Science Approach from Scratch</li><li> Course 13: Mastering SQL Programming</li><li> Course 14: Learn Python, JavaScript, and Microsoft SQL for Data science</li><li> Course 15: Web Scraping and Mapping Dam Levels in Python and Leaflet</li><li> Course 16: Business Data Analysis</li><li> Course 17: Business Intelligence and Data Mining Diploma</li><li> Course 18: Google Data Studio: Data Analytics</li><li> Course 19: Google Analytics for Everyone</li><li> Course 20: Big Data Analytics with PySpark Tableau Desktop and MongoDB</li><li> Course 21: Big Data Analytics with PySpark Power BI and MongoDB</li><li> Course 22: Introduction to Data Analytics with Tableau</li><li> Course 23: Microsoft Power BI - Master Power BI in 90 Minutes!</li><li> Course 24: PowerBI Formulas</li><li> Course 25: Develop Big Data Pipelines with R &amp; Sparklyr &amp; Tableau</li><li> Course 26: Develop Big Data Pipelines with R, Sparklyr &amp; Power BI</li><li> Course 27: Microsoft Access Tables and Queries</li><li> Course 28: Statistical Analysis</li><li> Course 29: Research Methods in Business</li><li> Course 30: Customer Analytics Training</li></ul><p>With Data Visualisation Professional - CPD Certified, you'll embark on an immersive learning experience that combines interactive lessons with voice-over audio, ensuring that you can learn from anywhere in the world, at your own pace. And with 24/7 tutor support, you'll never feel alone in your journey, whether you're a seasoned professional or a beginner.</p><p>Don't let this opportunity pass you by. Enrol in Data Visualisation Professional - CPD Certified today and take the first step towards achieving your goals and dreams.</p><p><strong>Why buy this Data Visualisation Professional - CPD Certified?</strong></p><ul><li><strong>Free CPD Accredited Certificate</strong> upon completion of Data Visualisation Professional - CPD Certified</li><li>Get <strong>a free student ID card</strong> with Data Visualisation Professional - CPD Certified</li><li><strong>Lifetime access</strong> to the Data Visualisation Professional - CPD Certified course materials</li><li>Get instant access to this Data Visualisation Professional - CPD Certified course</li><li>Learn Data Visualisation Professional - CPD Certified from anywhere in the world</li><li>24/7 tutor support with the Data Visualisation Professional - CPD Certified course.</li></ul> <p><strong>Start your learning journey straightaway with our Data Visualisation Professional - CPD Certified Training!</strong></p><p>Data Visualisation Professional - CPD Certified premium bundle consists of 30 precisely chosen courses on a wide range of topics essential for anyone looking to excel in this field. Each segment of the Data Visualisation Professional - CPD Certified is meticulously designed to maximise learning and engagement, blending interactive content and audio-visual modules for a truly immersive experience.</p><p><strong>Certification</strong></p><p>You have to complete the assignment given at the end of the Data Visualisation Professional - CPD Certified course. After passing the Data Visualisation Professional - CPD Certified exam You will be entitled to claim a PDF &amp; Hardcopy certificate accredited by CPD Quality standards completely free.</p> <h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        300 CPD hours / points
                                    </div>
                                        <div>
                                            Accredited by CPD Quality Standards
                                        </div>
                                </div>
                            </div>
                        </div> <h2>
        
        <div>Who is this course for?</div>
    </h2>

                        <div id="who_is_this_course_for">
                            <p><strong>This Data Visualisation Professional - CPD Certified course is ideal for:</strong></p><ul><li>Students seeking mastery in Data Visualisation Professional - CPD Certified</li><li>Professionals seeking to enhance Data Visualisation Professional - CPD Certified skills</li><li>Individuals looking for a Data Visualisation Professional - CPD Certified-related career.</li><li>Anyone passionate about Data Visualisation Professional - CPD Certified</li></ul>
                        </div> <h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>This <strong>Data Visualisation Professional - CPD Certified </strong>doesn't require prior experience and is suitable for diverse learners.</p>
                        </div> <h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <p>After the assessment, you will be ready for countless job opportunities. Some of them are-</p><ul><li>Business Analyst</li><li>Business Intelligence Analyst</li><li>Analytics Manager</li><li>Data Analyst</li><li>Data Scientist</li></ul><p>However, in the growing market of the UK, these professionals are expected to earn between <strong>£25k to £80k</strong> yearly on average.</p>
                        </div> <h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>CPD Accredited Digital Certificate</h4>
        <p>
            Digital certificate -
            Included
        </p>
        <h4>CPD Accredited Hard Copy Certificate</h4>
        <p>
            Hard copy certificate -
            Included
        </p>
            <div><p>If you are an <strong>international student</strong>, then you have to pay an additional <strong>10 GBP</strong> for each certificate as an international delivery charge.</p></div>

                        </div>

Academy for Health and Fitness

Data Visualisation Professional - CPD Certified

Duco Digital Training

Machine Learning (ML)

IT Certifications

IT Skills

Computing & IT

IT Literacy

Business Data Analysis

Thinking about learning more about the data you are using in your job and how to present this?
The BCS Foundation Award in Data Visualisation teaches how data is used to make decisions in an organisation and the importance of presenting accurate data in a way that enables decision making to happen.

Data Visualisation - BCS Foundation Award

<div id="course-pills-1">Duration<p>2 Days</p><p>12 CPD hours</p>This course is intended for<p>This course is aimed at anyone currently working with data who is interested in using data visualisation to more effectively communicate their results.</p>Overview<p>At completion, delegates will understand how data visualisations can be best used to communicate actionable insights from data and be competent with the tools required to do it.</p><p>Visualising data, and analytics results, is one of the most effective ways to achieve this. This course will cover the theory of data visualisation along with practical skills for creating compelling visualisations from data.</p></div><div id="course-pills-2"><h4>Course Outline</h4><ul><li>The use of analytics, statistics and data science in business has grown massively in recent years. Harnessing the power of data is opening actionable insights in diverse industries from banking to horse breeding. The companies doing this most successfully understand that using sophisticated analytics approaches to unlock insights from data is only half the job. Communicating these insights to all of the different parts of an organisation is just as important as doing the actual analysis. Visualising data, and analytics results, is one of the most effective ways to achieve this. This course will cover the theory of data visualisation along with practical skills for creating compelling visualisations from data. To attend this course delegates should be competent in the use of data analysis tools such as reporting tools, spreadsheet software or business intelligence tools. The course will explore the following topics through a series of interactive workshop sessions:</li><li>Fundamentals of data visualisation</li><li>Data characteristics &amp; dimensions</li><li>Mapping visual encodings to data dimensions</li><li>Colour theory</li><li>Graphical perception &amp; communication</li><li>Interaction design</li><li>Visualisation different characteristics of data: trends, comparisons, correlations, maps, networks, hierarchies, text</li><li>Designing effective dashboards</li></ul></div>

Nexus Human

Excel Analytics

Effective Data Visualisation

<h2>Professional Arduino Data Visualisation using Python Course Overview</h2> <p>Are you looking to begin your Arduino data visualisation career or want to develop more advanced skills in Arduino data visualisation? Then this professional Arduino data visualisation using Python course will set you up with a solid foundation to become a confident Python progammer or electronic and electrical engineer and help you to develop your expertise in Arduino data visualisation.</p> <p>This professional Arduino data visualisation using Python course is <strong>accredited</strong> by the <strong>CPD UK </strong>&amp;<strong> IPHM</strong>. CPD is <strong>globally recognised</strong> by <strong>employers</strong>, <strong>professional organisations</strong> and academic intuitions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. <strong>CPD certified certificates</strong> are <strong>accepted</strong> by thousands of <strong>professional bodies</strong> and <strong>government regulators</strong> here in the <strong>UK</strong> and <strong>around the world</strong>.</p> <p>Whether you are self-taught and you want to fill in the gaps for better efficiency and productivity, this professional Arduino data visualisation using Python course will set you up with a solid foundation to become a confident Python progammer or electronic and electrical engineer and develop more advanced skills. Gain the essential skills and knowledge you need to propel your career forward as a Python progammer or electronic and electrical engineer.</p> <p>The professional Arduino data visualisation using Python course will set you up with the appropriate skills and experience needed for the job and is ideal for both beginners and those currently working as a Python progammer or electronic and electrical engineer.</p> <p>This comprehensive professional Arduino data visualisation using Python course is the perfect way to kickstart your career in the field of Arduino data visualisation. This professional Arduino data visualisation using Python course will give you a competitive advantage in your career, making you stand out from all other applicants and employees.</p> <p>If you're interested in working as a Python progammer or electronic and electrical engineer or want to learn more skills on Arduino data visualisation but unsure of where to start, then this professional Arduino data visualisation using Python course will set you up with a solid foundation to become a confident Python progammer or electronic and electrical engineer and develop more advanced skills.</p> <p>As one of the leading course providers and most renowned e-learning specialists online, we're dedicated to giving you the best educational experience possible. This professional Arduino data visualisation using Python course is crafted by industry experts, to enable you to learn quickly and efficiently, and at your own pace and convenience.</p> <h3>Who should take this course?</h3> <p>This comprehensive professional Arduino data visualisation using Python<strong> </strong>course is suitable for anyone looking to improve their job prospects or aspiring to accelerate their career in this sector and want to gain in-depth knowledge of Arduino data visualisation.</p> <h3>Entry Requirements</h3> <ul> <li>There are no academic entry requirements for this professional Arduino data visualisation using Python<strong> </strong>course, and it is open to students of all academic backgrounds.</li> <li>As long as you are aged seventeen or over and have a basic grasp of English, numeracy and ICT, you will be eligible to enrol.</li> </ul> <h3>Career path</h3> <p>This professional Arduino data visualisation using Python<strong> </strong>course opens a brand new door for you to enter the relevant job market and also provides you with the chance to accumulate in-depth knowledge at the side of needed skills to become flourishing in no time. You will also be able to add your new skills to your CV, enhance your career and become more competitive in your chosen industry.</p><h2><b>Course Curriculum</b></h2> <div id="la-course-curriculum"> <div> <div>  Introduction <span></span>  <div> <div> <p>Introduction</p> <span></span> </div> <div> <p>Who We Are</p> <span></span> </div> <div> <p>Hardware and Software Requirements</p> <span></span> </div> </div> </div> <div>  Download and Install Software Section <span></span>  <div> <div> <p>Download and Install Arduino Pro IDE</p> <span></span> </div> <div> <p>Download and Install Python Editor</p> <span></span> </div> <div> <p>Download and Install Required Libraries</p> <span></span> </div> </div> </div> <div>  Python Coding to Control Arduino Pins <span></span>  <div> <div> <p>Python Coding to Control Pin Via Serial</p> <span></span> </div> <div> <p>Arduino Coding to Control Pin Via Serial</p> <span></span> </div> <div> <p>Running Python Script to Control the Pin</p> <span></span> </div> </div> </div> <div>  Python Coding to Control Arduino Pins <span></span>  <div> <div> <p>Python GUI with Button to Control Arduino Pins</p> <span></span> </div> </div> </div> <div>  Arduino Real-Time Plotting with Python <span></span>  <div> <div> <p>Arduino Real-Time Plotting with Python</p> <span></span> </div> </div> </div> <div>  Arduino Input/Output Control Via Python <span></span>  <div> <div> <p>Blink Simple Led Example with Python</p> <span></span> </div> <div> <p>Reading Digital Input and Sending Digital Output with Python</p> <span></span> </div> </div> </div> <div>  Extra <span></span>  <div> <div> <p>Installing Python and PIP</p> <span></span> </div> </div> </div> </div> </div><h2><b>Recognised Accreditation</b></h2> <div> <h3>CPD Certification Service</h3> <p>This course is accredited by continuing professional development (CPD). CPD UK is globally recognised by employers, professional organisations, and academic institutions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. CPD certificates are accepted by thousands of professional bodies and government regulators here in the UK and around the world. Many organisations look for employees with CPD requirements, which means, that by doing this course, you would be a potential candidate in your respective field.</p> </div><h2><b>Certificate of Achievement</b></h2> <h3>Certificate of Achievement from Lead Academy</h3> <p>After successfully passing the MCQ exam you will be eligible to order your certificate of achievement as proof of your new skill. The certificate of achievement is an official credential that confirms that you successfully finished a course with Lead Academy. Certificate can be obtained in PDF version at a cost of Â£12, and there is an additional fee to obtain a printed copy certificate which is Â£35.</p> <p> </p><h2><b>FAQs</b></h2> <div id="accordionPanelsStayOpenExample"> <div> <h3 id="panelsStayOpen-heading21">  Is CPD a recognised qualification in the UK?  </h3> <div id="panelsStayOpen-collapse21"> <div> <p>CPD is globally recognised by employers, professional organisations and academic intuitions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. CPD-certified certificates are accepted by thousands of professional bodies and government regulators here in the UK and around the world. </p> </div> </div> </div> <div> <h3 id="panelsStayOpen-heading23">  Are QLS courses recognised?  </h3> <div id="panelsStayOpen-collapse23"> <div> <p>Although QLS courses are not subject to Ofqual regulation, they must adhere to an extremely high level that is set and regulated independently across the globe. A course that has been approved by the Quality Licence Scheme simply indicates that it has been examined and evaluated in terms of quality and fulfils the predetermined quality standards. </p> </div> </div> </div> <div> <h3 id="panelsStayOpen-heading25">  When will I receive my certificate?  </h3> <div id="panelsStayOpen-collapse25"> <div> <p>For CPD accredited PDF certificate it will take 24 hours, however for the hardcopy CPD certificate takes 5-7 business days and for the Quality License Scheme certificate it will take 7-9 business days. </p> </div> </div> </div> <div> <h3 id="panelsStayOpen-heading27">  Can I pay by invoice?  </h3> <div id="panelsStayOpen-collapse27"> <div> <p>Yes, you can pay via Invoice or Purchase Order, please contact us at info@lead-academy.org for invoice payment. </p> </div> </div> </div> <div> <h3 id="panelsStayOpen-heading29">  Can I pay via instalment?  </h3> <div id="panelsStayOpen-collapse29"> <div> <p>Yes, you can pay via instalments at checkout. </p> </div> </div> </div> <div> <h3 id="panelsStayOpen-heading31">  How to take online classes from home?  </h3> <div id="panelsStayOpen-collapse31"> <div> <p>Our platform provides easy and comfortable access for all learners; all you need is a stable internet connection and a device such as a laptop, desktop PC, tablet, or mobile phone. The learning site is accessible 24/7, allowing you to take the course at your own pace while relaxing in the privacy of your home or workplace. </p> </div> </div> </div> <div> <h3 id="panelsStayOpen-heading33">  Does age matter in online learning?  </h3> <div id="panelsStayOpen-collapse33"> <div> <p>No, there is no age limit for online learning. Online learning is accessible to people of all ages and requires no age-specific criteria to pursue a course of interest. As opposed to degrees pursued at university, online courses are designed to break the barriers of age limitation that aim to limit the learner's ability to learn new things, diversify their skills, and expand their horizons.</p> </div> </div> </div> <div> <h3 id="panelsStayOpen-heading35">  When I will get the login details for my course?  </h3> <div id="panelsStayOpen-collapse35"> <div> <p>After successfully purchasing the course, you will receive an email within 24 hours with the login details of your course. Kindly check your inbox, junk or spam folder, or you can contact our client success team via info@lead-academy.org</p> </div> </div> </div> </div>

Lead Academy

Professional Arduino Data Visualisation using Python

<p>Are your reports and presentations <strong>boring</strong>? Do you wish to <strong> "animate"</strong> your data?</p><p>Tableau, a prominent <strong>visualisation program,</strong> will help your data problems to have an answer. You will acquire the knowledge necessary to master <strong>data visualisation</strong> in this Tableau introduction course.</p><p>This Tableau course gives you the <strong>confidence</strong> to discover the true value of your data by laying a foundation in data visualisation through a series of practical exercises. This Tableau course is designed for people who have never used Tableau before and are new to data visualisation. It makes use of Tableau's assortment of features to show best practices for <strong>data narrative and visualisation</strong>. You will learn how to connect datasets to Tableau, navigate the user interface, build interactive visualisations, and save and share your work in this course. You will learn how to employ each sort of visualisation in this course by going step by step through each one. By incorporating practical built-in functions, you will also learn how to create some fundamental formulas in the Tableau Calculation Language.</p><p><strong>Enrol real quickly</strong> to learn all there is to know about the Tableau - Crash Course, develop your talents in this area and feel secure in your knowledge base.</p><p><strong>Learning Outcome</strong></p><p>After completing this course successfully, you will be able to</p><ul><li>Learn how to create powerful dashboards and visualisations.</li><li>Ensure that Tableau is discovering the answers to your queries rather than creating new issues, prepare and clean your data</li><li>Understand how to create sophisticated visuals that convey complexity in a clear, appealing manner</li><li>Explore your data more thoroughly with clustering and distribution models that let you identify trends and make predictions</li><li>Discover how to utilise data storytelling to inform strategy and decision-making</li><li>Share dashboards and visualisations to foster an environment where data is accessible and appreciated</li></ul><p><strong>Key Benefits</strong></p><ul><li>Learning materials of the Design course contain engaging voiceover and visual elements for your comfort.</li><li>Get 24/7 access to all content for a full year.</li><li>Each of our students gets full tutor support on weekdays (Monday to Friday)</li></ul><p><strong>Course Curriculum:</strong></p><ul><li>Section 1: Introduction to Tableau</li><li>Section 2: Connecting and Preparing Data</li><li>Section 3: Creating Charts and Calculations</li><li>Section 4: Building and Publishing Dashboards</li><li>Section 5: Build a Dashboard Analyzing Trumps Tweets about COVID-19</li></ul><p><strong>Course Assessment</strong></p><p>To simplify the procedure of evaluation and accreditation for learners, we provide an automated assessment system. Upon completion of an online module, you will immediately be given access to a specifically crafted MCQ test. The results will be evaluated instantly, and the score will be displayed for your perusal. For each test, the pass mark will be set to 60%.</p><p>When all tests have been successfully passed, you will be able to order a certificate endorsed by the Quality Licence Scheme.</p><p><strong>Exam &amp; Retakes:</strong></p><p>It is to inform our learners that the initial exam for this online course is provided at no additional cost. In the event of needing a retake, a nominal fee of £9.99 will be applicable.</p><p><strong>Certification</strong></p><p>Upon successful completion of the assessment procedure, learners can obtain their certification by placing an order and remitting a fee of £9 for PDF Certificate and £15 for the Hardcopy Certificate within the UK ( An additional £10 postal charge will be applicable for international delivery).</p><h2>
        
        <div>Who is this course for?</div>
    </h2>

                        <div id="who_is_this_course_for">
                            <p>Anyone interested in starting a career in data science or a database is encouraged to apply. This course is really easy to understand, even if you are a total newbie with no prior knowledge. Additionally, if you already work in a related field, this course will be an excellent source of knowledge for you to develop your current skills.</p>
                        </div><h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>This Tableau - Crash course is open to all, with no formal entry requirements.</p>
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <p>Learners will be able to attain numerous valuable skills and the chance to gain after completing the Tableau - Crash course. With more help, you could advance in the following career:</p><ul><li>Tableau Developer</li><li>Data Analyst</li><li>Data Visualisation Developer</li><li>Tableau Developer - Data Analytics</li><li>Business Intelligence/Data Validation Analyst</li></ul>
                        </div>

One Education

Data Visualisation with Tableau Course

<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Are you ready to embark on an enlightening journey of wisdom with the Big Data bundle, and pave your way to an enriched personal and professional future? If so, then Step into a world of knowledge with our course bundle - Big Data : Data Science, Data Analytics &amp; Data Visualisation.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Delve into eight immersive CPD Accredited courses, each a standalone course:</p><ol fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Big Data Analytics with PySpark Power BI and MongoDB</strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Big Data Analytics with PySpark Tableau Desktop and MongoDB</strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Building Big Data Pipelines with PySpark MongoDB and Bokeh</strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Develop Big Data Pipelines with R &amp; Sparklyr &amp; Tableau</strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Develop Big Data Pipelines with R, Sparklyr &amp; Power BI</strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Basic Data Analysis</strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">SQL for Data Science, Data Analytics and Data Visualization</strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Complete Python Machine Learning &amp; Data Science Fundamentals</strong></li></ol><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Traverse the vast landscapes of theory, unlocking new dimensions of understanding at every turn. Let the Big Data : Data Science, Data Analytics &amp; Data Visualisation bundle illuminate your path to wisdom.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">The Big Data : Data Science, Data Analytics &amp; Data Visualisation bundle offers a comprehensive exploration into a rich tapestry of vast knowledge across eight carefully curated courses. The journey is designed to enhance your understanding and critical thinking skills. Each course within the bundle provides a deep-dive into complex theories, principles, and frameworks, allowing you to delve into the nuances of the subject matter at your own pace.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">In the framework of the Big Data : Data Science, Data Analytics &amp; Data Visualisation package, you are bestowed with complimentary PDF certificates for all the courses included in this bundle, all without any additional charge. Adorn yourself with the Big Data bundle, empowering you to traverse your career trajectory or personal growth journey with self-assurance. Register today and ignite the spark of your professional advancement!</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">So, don&#39;t wait further and join the Big Data : Data Science, Data Analytics &amp; Data Visualisation community today and let your voyage of discovery begin!</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Learning Outcomes:</strong></p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Attain a holistic understanding in the designated areas of study with the Big Data bundle.</li><li fr-original-style="" style="box-sizing: border-box;">Establish robust bases across each course nestled within the Big Data bundle.</li><li fr-original-style="" style="box-sizing: border-box;">Decipher intricate concepts through the articulate content of the Big Data bundle.</li><li fr-original-style="" style="box-sizing: border-box;">Amplify your prowess in interpreting, scrutinising, and implementing theories.</li><li fr-original-style="" style="box-sizing: border-box;">Procure the capacity to engage with the course material on an intellectual and profound level.</li><li fr-original-style="" style="box-sizing: border-box;">Become proficient in the art of problem-solving across various disciplines.</li></ul><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Stepping into the Big Data bundle is akin to entering a world overflowing with deep theoretical wisdom. Each course within this distinctive bundle is an individual journey, meticulously crafted to untangle the complex web of theories, principles, and frameworks. Learners are inspired to explore, question, and absorb, thus enhancing their understanding and honing their critical thinking skills. Each course invites a personal and profoundly enlightening interaction with knowledge.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">The Big Data bundle shines in its capacity to cater to a wide range of learning needs and lifestyles. It gives learners the freedom to learn at their own pace, forging a unique path of discovery. More than just an educational journey, the Big Data bundle fosters personal growth, enabling learners to skillfully navigate the complexities of the world.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">The Big Data bundle also illuminates the route to a rewarding career. The theoretical insight acquired through this bundle forms a strong foundation for various career opportunities, from academia and research to consultancy and programme management. The profound understanding fostered by the Big Data bundle allows learners to make meaningful contributions to their chosen fields. Embark on the Big Data journey and let knowledge guide you towards a brighter future.</p><h2 fr-original-style="" style="box-sizing: border-box;">
        
        <div fr-original-style="" style="box-sizing: border-box;">CPD</div>
    </h2>

                        <div id="cpd" fr-original-style="" style="box-sizing: border-box;">
                            <div fr-original-style="" style="box-sizing: border-box;">
                                <div fr-original-style="" style="box-sizing: border-box;">
                                    <div fr-original-style="" style="box-sizing: border-box;">
                                        85 CPD hours / points
                                    </div>
                                        <div fr-original-style="" style="box-sizing: border-box;">
                                            Accredited by CPD Quality Standards
                                        </div>
                                </div>
                            </div>
                        </div><h2 fr-original-style="" style="box-sizing: border-box;">
        
        <div fr-original-style="" style="box-sizing: border-box;">Who is this course for?</div>
    </h2>

                        <div id="who_is_this_course_for" fr-original-style="" style="box-sizing: border-box;">
                            <ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Individuals keen on deepening their firm understanding in the respective fields.</li><li fr-original-style="" style="box-sizing: border-box;">Students pursuing higher education looking for comprehensive theory modules.</li><li fr-original-style="" style="box-sizing: border-box;">Professionals seeking to refresh or enhance their knowledge.</li><li fr-original-style="" style="box-sizing: border-box;">Anyone with a thirst for knowledge and a passion for continuous learning.</li></ul>
                        </div><h2 fr-original-style="" style="box-sizing: border-box;">
        
        <div fr-original-style="" style="box-sizing: border-box;">Career path</div>
    </h2>

                        <div id="career_path" fr-original-style="" style="box-sizing: border-box;">
                            <p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Armed with the Big Data bundle, your professional journey can reach new heights. The comprehensive theoretical knowledge from this bundle can unlock diverse career opportunities across several fields. Whether it&#39;s academic research, consultancy, or programme management, the Big Data bundle lays a solid groundwork.</p>
                        </div><h2 fr-original-style="" style="box-sizing: border-box;">
        
        <div fr-original-style="" style="box-sizing: border-box;">Certificates</div>
    </h2>

                        <div id="optional_extras" fr-original-style="" style="box-sizing: border-box;">
                                    <h4 fr-original-style="" style="box-sizing: border-box;">CPD Certificate Of Completion</h4>
        <p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">
            Digital certificate -
            Included
        </p>
            <div fr-original-style="" style="box-sizing: border-box;"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">8 Digital Certificates Are Included With This Bundle</p></div>
        <h4 fr-original-style="" style="box-sizing: border-box;">CPD Quality Standard Hardcopy Certificate (FREE UK Delivery)</h4>
        <p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">
            Hard copy certificate -
            &pound;9.99
        </p>
            <div fr-original-style="" style="box-sizing: border-box;"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Hardcopy Transcript - &pound;9.99</p></div>

                        </div>

Big Data

Continuous Professional Development (CPD)

Big Data : Data Science, Data Analytics & Data Visualisation - 8 Courses Bundle

Build your accounting and financial skills to expertly handle everyday business operations and crucial calculations with the Accounting and Finance Diploma. Begin by mastering the fundamental principles of accounting, and then advance your knowledge to cover all aspects of accounting and finance. This comprehensive course is designed to support both those aspiring to launch a career in accounting and finance and individuals seeking to develop their skills for career advancement and promotions.
The Accounting and Finance Diploma course provides an in-depth exploration of key accounting methods, including cash flow control, investment appraisals, and budget deliberation. You’ll learn essential techniques for effective decision-making in monetary matters, ensuring you can confidently handle financial responsibilities and contribute to business success.
With this course, you'll gain valuable insights into every aspect of accounting and finance, equipping you with the expertise needed for informed business decisions. Whether you’re looking to excel in a new role or enhance your current position, the knowledge gained from this diploma will be instrumental in driving your career forward in the field of accounting and finance.
Courses are included in this Accounting and Finance Complete Bundle:
Course 01: Introduction to Accounting
Course 02: Level 3 Tax Accounting
Course 03: Introduction to VAT
Course 04: Level 3 Xero Training
Course 05: Professional Bookkeeping Course
Course 06: Microsoft Excel Level 3
Course 07:Team Management
Course 08: GDPR Data Protection Level 5
Course 09: Fraud Management & Anti Money Laundering Awareness Complete Diploma
Course 10: Business Analysis Level 3
Course 11: Time Management
So, enrol on Accounting and Finance now in this Accounting and Finance Bundle!



Key Features of the Course
FREE Accounting and Finance Diploma CPD-accredited certificate
Get a free student ID card with Accounting and Finance Diploma training (£10 applicable for international delivery)
Lifetime access to the Accounting and Finance Diploma course materials
The Accounting and Finance Diploma program comes with 24/7 tutor support
Get instant access to this Accounting and Finance Diploma course
Learn Accounting and Finance Diploma training from anywhere in the world
The Accounting and Finance Diploma training is affordable and simple to understand
The Accounting and Finance Diploma training is entirely online



Curriculum:
Course 01: Introduction to Accounting
What is Financial Accounting
Double Entry System and Fundamental Rules
Financial Process and Financial Statements Generate
Basic Equations and Four Financial Statements
Define a Chart of Accounts and Classify the accounts
External and Internal Transactions with companies
Short Exercise to Confirm what we learned in this section
What Major Policies need to be decided by companies
Depreciation Policies
Operational Fixed Asset Controls
Inventory and Controls
Revenue and Controls
Course 02: Level 3 Tax Accounting
Tax System and Administration in the UK
Tax on Individuals
National Insurance
How to Submit a Self-Assessment Tax Return
Fundamentals of Income Tax
Payee, Payroll and Wages
Value Added Tax
Corporation Tax
Double Entry Accounting
Management Accounting and Financial Analysis
Career as a Tax Accountant in the UK
Course 03: Introduction to VAT

Understanding VAT
VAT Terminology and Calculation
VAT Taxable Persons
VAT Registration
VAT Rates
Invoicing and Records
VAT Application in Goods, Services and Vehicles
Supply
The VAT Return
Tips on VAT Compliance
VAT Exemptions and Zero-Rated VAT
Miscellaneous VAT Issues and Penalties
Making Tax Digital
Course 04: Level 3 Xero Training
Introduction
Getting Started
Invoices and Sales
Bills and Purchases
Bank Accounts
Products and Services
Fixed Assets
Payroll
VAT Returns
Course 05: Professional Bookkeeping Course
Introduction
Basic Accounting Terms
Common Transactions
Practice
Course 06: Microsoft Excel Level 3

Microsoft Excel 2019 New Features
Getting Started with Microsoft Office Excel
Performing Calculations
Modifying a Worksheet
Formatting a Worksheet
Printing Workbooks
Managing Workbooks
Working with Functions
Working with Lists
Analysing Data
Visualising Data with Charts
Using PivotTables and PivotCharts
Working with Multiple Worksheets and Workbooks
Using Lookup Functions and Formula Auditing
Sharing and Protecting Workbooks
Automating Workbook Functionality
Creating Sparklines and Mapping Data
Forecasting Data
Excel Templates
Course 07: Presenting Financial Information
Presenting Financial Information
The Hierarchy of Performance Indicators
The Principle of Effective Reports
Guidelines for Designing Management Reports
Methods of Presenting Performance Data
The Control Chart: Highlighting the Variation in the Data
The Pareto Chart: Highlighting Priorities
Exercise: The Control Chart
An Example Management Report
Interpreting Performance Data
Supporting Colleagues by Giving Feedback
Data Visualisation Part 01
Data Visualisation Part 02
Data Visualisation Part 03
Data Visualisation Part 04
Final Thoughts on Presenting Financial Information
Course 08: GDPR Data ProtectionLevel 5
GDPR Basics
GDPR Explained
Lawful Basis for Preparation
Rights and Breaches
Responsibilities and Obligations
Course 09: Fraud Management & Anti Money Laundering Awareness Complete Diploma
Introduction to Money Laundering
Proceeds of Crime Act 2002
Development of Anti-Money Laundering Regulation
Responsibility of the Money Laundering Reporting Office
Risk-based Approach
Customer Due Diligence
Record Keeping
Suspicious Conduct and Transactions
Awareness and Training
Course 10: Business Analysis Level 3

Introduction to Business Analysis
Business Processes
Business Analysis Planning and Monitoring
Strategic Analysis and Product Scope
Solution Evaluation
Investigation Techniques
Ratio Analysis
Stakeholder Analysis and Management
Process Improvement with Gap Analysis
Documenting and Managing Requirements
Career Prospect as a Business Analyst in the UK
Course 11: Time Management

Identifying Goals
Effective Energy Distribution
Working with Your Personal Style
The detailed curriculum of the Accounting and Finance bundle is given in the resources section.
How will I get my Certificate?
After successfully completing the Accounting and Finance course, you will be able to order your CPD Accredited Certificates (PDF + Hard Copy) as proof of your achievement.
PDF Certificate: Free (Previously, it was £10 * 11 = £110)
Hard Copy Certificate: Free (For The Title Course)
 CPD 
115 CPD hours/points  Accredited by CPD Quality Standards



 Who is this course for? 
No experience or previous qualifications are required for this Accounting and Finance Course enrolment.



 Requirements 
Our Accounting and Finance course is your path that might lead to a rewarding career. You will gain in-demand mastery in this program.



 Career path 
The Accounting and Finance course is beneficial for any profession or career from any industry you are in, such as:
Managers
Accountants
Bankers
Finance Officer
Payroll Officer
Bookkeeper
Finance Administrator



 Certificates 
Certificate of completion
Digital certificate - Included
Certificate of completion
Digital certificate - Included

Apex Learning

Xero

Tax Accounting

Accounting and Finance Diploma

This Offer is vaild for first 10 Learners Only!!

Limited Time Offer!

<p dir="ltr" id="isPasted" fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Whetstone Communications, in association with comms2point0, are delighted to bring you the Data Bites series of five <strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">FREE</strong> webinars.</p><p dir="ltr" fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">Our aim is to boost interest and levels of data literacy among not-for-profit communicators.</span></p><p dir="ltr" fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">By taking part, you will gain:</span></p><ul fr-original-style="" style="box-sizing: border-box;"><li dir="ltr" fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">Confidence in using some basic data techniques</span></li><li dir="ltr" fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">Examples and ideas for using data in your daily work</span></li><li dir="ltr" fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">Insight into using the power of AI for powerful insights</span></li><li dir="ltr" fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">New knowledge and skills to help you stand out from the crowd - and even win awards&nbsp;</span></li></ul><div fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;"></strong></div><div fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Now Booking: #2.&nbsp;</strong><span style="color: rgb(0, 0, 0); box-sizing: border-box;" id="isPasted" fr-original-style="color:#000000;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Finding and Asking for Data (30 mins)</strong></span></div><p id="isPasted" fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Where to find relevant data<br fr-original-style="" style="box-sizing: border-box;">Internal Data<br fr-original-style="" style="box-sizing: border-box;">Open Data and Public Data<br fr-original-style="" style="box-sizing: border-box;">Official Data<br fr-original-style="" style="box-sizing: border-box;">Alternative Data<br fr-original-style="" style="box-sizing: border-box;">Asking for data from internal colleagues<br fr-original-style="" style="box-sizing: border-box;">Data visualisation</p>

Whetstone Communications, in association with comms2point0, are delighted to bring you the Data Bites series of five FREE webinars.
Our aim is to boost interest and levels of data literacy among not-for-profit communicators.
By taking part, you will gain:
Confidence in using some basic data techniques
Examples and ideas for using data in your daily work
Insight into using the power of AI for powerful insights
New knowledge and skills to help you stand out from the crowd - and even win awards
Now Booking: #2. Finding and Asking for Data (30 mins)
Where to find relevant data
Internal Data
Open Data and Public Data
Official Data
Alternative Data
Asking for data from internal colleagues
Data visualisation

Alex Waddington

Communication

Digital Communication

Public Relations (PR)

Whetstone Communications and comms2point0 are pleased to bring you the Data Bites series of free webinars. Our aim is to boost interest and levels of data literacy among not-for-profit communicators.

[Data Bites for Comms Pros] #2 Finding and Asking for Data (30 mins)

Demand for data analysts, data scientists and data engineers tripled over the past five years, rising 231%. That's much faster than job postings overall in the UK, which grew 36%. Hence, the demand for skilled data analysts has skyrocketed in the UK and worldwide! On average, salaries for these data analysts' roles are £64,376 and keep rising.
With a broader overview of the data analyst's responsibility, data chart, and presentation tools, the bundle describes how to filter, improve and handle data to present various information. You'll learn process management, how to analyse data and how to make vital business decisions. The data analyst bundle will buckle you up to perform simple to complex business analysis tasks effectively and efficiently.
Furthermore, the data analyst course accentuates developing your programming skills for a data analyst, such as Python, SQL, and R. What's more? Besides strengthening Microsoft Excel skills for a data analyst, you can improve your expertise in Tableau, Google Data Studio and business analysis ability from this Data Analyst (Data Analytics) Bundle course. Hence, you can be an efficient data analyst and a competent candidate for a challenging position.
Learning Outcomes of Data Analyst (Data Analytics)
Upon completion of the Data Analyst (Data Analytics) program, you will have acquired:
Acquire a big-picture understanding of the data analyst role
Fundamentals of data analysis (data analysis), including process management, tools for data analysis, various charts
Ability to conduct thorough research and turn raw data into presentable information
Perform many data operations in Python's famous "pandas" library, including grouping, pivoting, joining and more!
Learn about NLP, Machine Learning (ML), data visualisation using Matplotlib, Seaborn and much more
Knowledge of all the essential SQL commands and become proficient in SQL tools like GROUP BY, JOINS, and Subqueries
Become competent in using sorting and filtering commands in SQL
Learn general cloud computing concepts and gain a solid understanding of the fundamental systems on which the cloud is based
Learn how to use the R programming language for data science, machine learning, and data visualisation
Learn data analytics with Tableau, business intelligence and data mining masterclass, basic Google Data studio
This Data Analyst (Data Analytics) Bundle Consists of the following Premium courses:
Course 01: Introduction to Data Analysis
Course 02: Python for Data Analysis
Course 03: SQL Programming Masterclass
Course 04: Data Science & Machine Learning with R
Course 05: Data Analytics with Tableau
Course 06: Basic Google Data Studio
Course 07: Business Intelligence and Data Mining Masterclass
Course 08: Business Analysis Level 3
Course 09: Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query
Course 10: Cloud Computing / CompTIA Cloud+ (CV0-002)
Course 11: GDPR Data Protection Level 5
Course 12: ChatGPT Crash Course
Upon finishing this 12-course Data Analyst (Data Analytics) bundle, you will acquire the necessary skills for a thriving career in this rapidly expanding industry. Waste no more time - enrol today and commence your path towards a promising future!
The Curriculum of the Data Analyst Bundle:
Course 1: Introduction to Data Analysis
Introduction
Agenda and Principles of Process Management
The Voice of the Process
Working as One Team for Improvement
Exercise: The Voice of the Customer
Tools for Data Analysis
The Pareto Chart
The Histogram
The Run Chart
Exercise: Presenting Performance Data
Understanding Variation
The Control Chart
Control Chart Example
Control Chart Special Cases
Interpreting the Control Chart
Control Chart Exercise
Strategies to Deal with Variation
Using Data to Drive Improvement
A Structure for Performance Measurement
Exercise
Course Project
Test your Understanding
Course 2: Python for Data Analysis
Welcome, Course Introduction & overview, and
Environment set-up
Python Essentials
Python for Data Analysis using NumPy
Python for Data Analysis using Pandas
Python for Data Visualization using mat plotlib
Python for Data Visualization using Seaborn
Python for Data Visualization using pandas
Python for interactive & geographical plotting using Plotly
and Cufflinks
Capstone Project - Python for Data Analysis &
Visualisation
Python for Machine Learning (ML) - sci-kit-learn - Linear
Regression Model
Python for Machine Learning - scikit-learn - Logistic
Regression Model
Python for Machine Learning - scikit-learn - K Nearest
Neighbours
Python for Machine Learning - scikit-learn - Decision Tree
and Random Forests
Python for Machine Learning - scikit-learn -Support Vector
Machines (SVMs)
Python for Machine Learning - scikit-learn - K Means
Clustering
Python for Machine Learning - scikit-learn - Principal
Component Analysis (PCA)
Recommender Systems with Python - (Additional Topic)
Python for Natural Language Processing (NLP) - NLTK -
(Additional Topic)
Course 3: SQL Programming Masterclass
Introduction
Setting up Course Tools
Browsing & Filtering Data
Filter Data with AND, OR, NOT Operators
Math Operations
String Concatenation
Tidy Up Your Results: Sorting, Alias Names, Limit
Records
NULL, DISTINCT & CASE Statements
Functions in SQL: Multiple-Row Functions
Functions in SQL: Single-Row Functions
Nested Queries
Casting & Data Conversion
Combination Relationships
Joins in SQL
Data Manipulation (DML)
SQL Data Definition Language (DDL)
Course 4: Data Science & Machine Learning with R
Data Science and Machine Learning Course Intro
Data Types and Structures in R
Data Types and Structures in R
Intermediate R
Data Manipulation in R
Data Visualisation in R
Creating Reports with R Markdown
Building WebApps with R Shiny
Introduction to Machine Learning
Starting A Career in Data Science
Course 5: Data Analytics with Tableau
Introduction to the Course
Project 1: Discount Mart (Sales and Profit Analytics)
Project 2: Green Destinations (HR Analytics)
Project 3: Superstore (Sales Agent Tracker)
Northwind Trade (Shipping Analytics)
Project 5: Tesla (Stock Price Analytics)
Bonus: Introduction to Database Concepts
Tableau Stories
Course 6: Basic Google Data Studio
Introduction to GDS
Data Visualisation
Geo-visualisation
A Socio-Economic Case Study
Course 7: Business Intelligence and Data Mining Masterclass
What is Business Intelligence?
Starting Case in understanding BI needs in diff phases
of business
Decision-Making Process and Need for IT Systems
Problem Structure and Decision Support System
Introduction to BI Applications
Dashboard presentation systems
Different Types of Charts used in 131 Dashboards
Good Dashboard and BSC
Examples of Bad Dashboards
Process of KPI Development
Overview of Data Warehouse
More explanation of the data warehouse and steps in
processing
Data Warehouse Architecture -Tiers
Data Warehouse - components
Approach to developing data structure and Models of
database
Basics of Data Mining - Meaning
Basics of Data Mining - Stages of DM
Data Mining Technique - Classification
Data mining - Clustering
Data Mining - Association Rules
Data Mining Applications - Banking
Data Mining Applications - CRM
Data Mining Applications - other industries
Course 8: Business Analysis Level 3
Introduction to Business Analysis
Business Processes
Business Analysis Planning and Monitoring
Strategic Analysis and Product Scope
Solution Evaluation
Investigation Techniques
Ratio Analysis
Stakeholder Analysis & Management
Process Improvement with Gap Analysis
Documenting & Managing Requirements
Career Prospect as a Business Analyst in the UK
Course 9: Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query
Introduction
Prepaid Expenses Models: Resources Download
Accounting for Prepaid Expenses
Excel Formulas Detailed: Introduction to three Excel
Models
Formula-Based Prepaid Expenses Model
Calculate Prepaid Expenses Amortisation from Exact
Start Date
Prepaid Expenses Summary with Power Query & Pivot
Table
Advanced VBA Prepaid Expenses Amortisation Model
BONUS: Dynamic Dashboard for Divisional Profit &
Loss statements: Easy Way
Power Query & Pivot Tables based Dashboard without any Formulas, Fully Dynamic
Course 10: Cloud Computing CompTIA Cloud+ (CV0-002)
What You Need to Know
Introducing the Cloud
System Requirements for Cloud Deployments
Cloud Storage
Cloud Compute
Cloud Networking
Cloud Security
Migrating to the Cloud
Maintaining Cloud Solutions
Troubleshooting Cloud Solutions
Course 11: GDPR Data Protection
GDPR Basics
GDPR Explained
Lawful Basis for Preparation
Rights and Breaches
Course 12: ChatGPT Crash Course
Sign up for an OpenAI Account
What can ChatGPT do for you?
ChatGPT for Business
ChatGPT for Teaching
ChatGPT for Research
Limitations of ChatGPT
Additional Videos
 CPD 
130 CPD hours/points  Accredited by CPD Quality Standards
 Who is this course for? 
Anyone from any background can enrol in this Data Analyst (Data Analytics) bundle. Persons with similar professions can also refresh or strengthen their skills by enrolling in this Data Analyst (Data Analytics) bundle course. Students can take this course to gather professional knowledge besides their studies or for the future. 
Aspiring data analysts
Business analyst professionals who want to improve their skills
Anyone who desires to develop their data analysis skills
 
 Career path 
This Data Analyst (Data Analytics) Bundle is ideal for those who want to take their development to the next level and fast-track their career in any of the following roles:
Data Analyst: £30,000 - £50,000
Senior Data Analyst: £50,000 - £70,000
Data Scientist: £70,000 - £100,000
Business Intelligence Manager: £60,000 - £80,000
Machine Learning Engineer: £60,000 - £90,000
 Certificates 
Certificate of Completion
Digital certificate - Included
PDF certificate - Free (Previously, it was £6*12 = £72)
Certificate of Completion
Hard Copy certificate - Included
Hard Copy Certificate - Free (For The Title Course: Previously, it was £10)
Other Hard Copy certificates are available for £10 each
Please Note: The delivery charge inside the UK is £3.99, and the international students must pay a £9.99 shipping cost.

Google Data Studio

GDPR

Data Mining

Tableau

Business Intelligence (BI)

Python

ChatGPT

12 in 1 Career Guided Programme | Python, Data Science, ML, Tableau, SQL Programming, Data Mining, Business Analysis | 130 CPD Points | Tutor Support | Lifetime Access

Data Analyst (Data Analytics) Diploma - CPD Certified

<p fr-original-style="" id="isPasted" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Data has become the most important resource for every organisation &ndash; but the insights gained from data analysis will only ever be truly valuable if they can be clearly expressed to other people.&nbsp;</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">This course is for anybody who works with data, and needs to communicate the meaning that&#39;s in the numbers to colleagues, customers, bosses or external stakeholders.&nbsp;</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">It will give you or your team the confidence and skills to translate raw data into compelling visual stories for your key audiences. The principles and skills covered apply to the simplest PowerPoint chart, to more complex interactive visualisations.&nbsp;</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">We&rsquo;ll work with you before the course to ensure that we understand your organisation and what you&rsquo;re hoping to achieve.&nbsp;<br fr-original-style="" style="box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;"></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span fr-original-style="font-size: 18px;" style="font-size: 18px; box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Sample learning content</strong></span></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Session 1: What makes a great data-driven story</strong></p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">The key elements of a successful infographic or presentation.</li><li fr-original-style="" style="box-sizing: border-box;"> Industry best practice, and discussion of good (and bad) examples. </li><li fr-original-style="" style="box-sizing: border-box;">A simple framework for identifying the Audience, Story and Action. </li></ul><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Session 2: Data in context</strong></p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">How to balance function and aesthetic appeal.&nbsp;</li><li fr-original-style="" style="box-sizing: border-box;"> Identifying the right graph, chart, infographic or other visual.&nbsp; </li><li fr-original-style="" style="box-sizing: border-box;">Framing the data and providing contextual information.  </li></ul><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Session 3: Designing for the human brain</strong></p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Using colours to add emphasis and meaning.  </li><li fr-original-style="" style="box-sizing: border-box;">Design and layout principles, and creating hierarchies of information. </li><li fr-original-style="" style="box-sizing: border-box;">The principle of &lsquo;self-sufficiency&rsquo;, and removing clutter.  </li></ul><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Session 4: Navigation and narrative</strong></p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Tailoring visualisations for different types of communications.&nbsp; </li><li fr-original-style="" style="box-sizing: border-box;">Structuring presentations and longer reports.&nbsp; </li><li fr-original-style="" style="box-sizing: border-box;">Thinking in layers to create interactive dashboards. </li></ul><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span fr-original-style="font-size: 18px;" style="font-size: 18px; box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;">Delivery</strong></span></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">We deliver our courses over Zoom, to maximise flexibility. The training can be delivered in a single day, or across multiple sessions. All of our courses are live and interactive &ndash; every session includes a mix of formal tuition and hands-on exercises.  To ensure this is possible, the number of attendees is capped at 16 people.&nbsp;</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span fr-original-style="font-size: 18px;" style="font-size: 18px; box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;">Tutor</strong></span></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Alan Rutter is the founder of Fire Plus Algebra. He is a specialist in communicating complex subjects through data visualisation, writing and design. He teaches for General Assembly and runs in-house training for public sector clients including the Home Office, the Department of Transport, the Biotechnology and Biological Sciences Research Council, the Health Foundation, and numerous local government and emergency services teams. He previously worked with Guardian Masterclasses on curating and delivering new course strands, including developing and teaching their B2B data visualisation courses. He oversaw the iPad edition launches of Wired, GQ, Vanity Fair and Vogue in the UK, and has worked with Cond&eacute; Nast International as product owner on a bespoke digital asset management system for their 11 global markets. </p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;"><span fr-original-style="font-size: 18px;" style="font-size: 18px; box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Testimonial</strong></span></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">&ldquo;I was familiar with Alan&rsquo;s work as a Guardian Masterclass instructor on data visualisation and digital journalism, which made it easy for me to recommend him for onsite training at the Liverpool School of Tropical Medicine. &nbsp;We had a large group of people interested in honing their abilities to depict their research and stories in engaging ways. &nbsp;Alan&rsquo;s course provided great insight about common communication pitfalls and how to avoid them, how to become better communicators by understanding the audience diversity, and it showcased some great online tools for creating infographics. &nbsp;This should be mandatory training for all students, academics, report writers and those involved with conveying research to the media as it will help increase the clarity and accessibility of our own research stories.&rdquo; <br fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><em fr-original-style="" style="box-sizing: border-box;">Dr Lee Haines | Liverpool School of Tropical Medicine</em></strong></p>

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