90 Big Data Analytics courses

Duration 4 Days 24 CPD hours This course is intended for This class is intended for experienced developers who are responsible for managing big data transformations including: Extracting, loading, transforming, cleaning, and validating data. Designing pipelines and architectures for data processing. Creating and maintaining machine learning and statistical models. Querying datasets, visualizing query results and creating reports Overview Design and build data processing systems on Google Cloud Platform. Leverage unstructured data using Spark and ML APIs on Cloud Dataproc. Process batch and streaming data by implementing autoscaling data pipelines on Cloud Dataflow. Derive business insights from extremely large datasets using Google BigQuery. Train, evaluate and predict using machine learning models using TensorFlow and Cloud ML. Enable instant insights from streaming data Get hands-on experience with designing and building data processing systems on Google Cloud. This course uses lectures, demos, and hand-on labs to show you how to design data processing systems, build end-to-end data pipelines, analyze data, and implement machine learning. This course covers structured, unstructured, and streaming data. INTRODUCTION TO DATA ENGINEERING * Explore the role of a data engineer. * Analyze data engineering challenges. * Intro to BigQuery. * Data Lakes and Data Warehouses. * Demo: Federated Queries with BigQuery. * Transactional Databases vs Data Warehouses. * Website Demo: Finding PII in your dataset with DLP API. * Partner effectively with other data teams. * Manage data access and governance. * Build production-ready pipelines. * Review GCP customer case study. * Lab: Analyzing Data with BigQuery. BUILDING A DATA LAKE * Introduction to Data Lakes. * Data Storage and ETL options on GCP. * Building a Data Lake using Cloud Storage. * Optional Demo: Optimizing cost with Google Cloud Storage classes and Cloud Functions. * Securing Cloud Storage. * Storing All Sorts of Data Types. * Video Demo: Running federated queries on Parquet and ORC files in BigQuery. * Cloud SQL as a relational Data Lake. * Lab: Loading Taxi Data into Cloud SQL. BUILDING A DATA WAREHOUSE * The modern data warehouse. * Intro to BigQuery. * Demo: Query TB+ of data in seconds. * Getting Started. * Loading Data. * Video Demo: Querying Cloud SQL from BigQuery. * Lab: Loading Data into BigQuery. * Exploring Schemas. * Demo: Exploring BigQuery Public Datasets with SQL using INFORMATION_SCHEMA. * Schema Design. * Nested and Repeated Fields. * Demo: Nested and repeated fields in BigQuery. * Lab: Working with JSON and Array data in BigQuery. * Optimizing with Partitioning and Clustering. * Demo: Partitioned and Clustered Tables in BigQuery. * Preview: Transforming Batch and Streaming Data. INTRODUCTION TO BUILDING BATCH DATA PIPELINES * EL, ELT, ETL. * Quality considerations. * How to carry out operations in BigQuery. * Demo: ELT to improve data quality in BigQuery. * Shortcomings. * ETL to solve data quality issues. EXECUTING SPARK ON CLOUD DATAPROC * The Hadoop ecosystem. * Running Hadoop on Cloud Dataproc. * GCS instead of HDFS. * Optimizing Dataproc. * Lab: Running Apache Spark jobs on Cloud Dataproc. SERVERLESS DATA PROCESSING WITH CLOUD DATAFLOW * Cloud Dataflow. * Why customers value Dataflow. * Dataflow Pipelines. * Lab: A Simple Dataflow Pipeline (Python/Java). * Lab: MapReduce in Dataflow (Python/Java). * Lab: Side Inputs (Python/Java). * Dataflow Templates. * Dataflow SQL. MANAGE DATA PIPELINES WITH CLOUD DATA FUSION AND CLOUD COMPOSER * Building Batch Data Pipelines visually with Cloud Data Fusion. * Components. * UI Overview. * Building a Pipeline. * Exploring Data using Wrangler. * Lab: Building and executing a pipeline graph in Cloud Data Fusion. * Orchestrating work between GCP services with Cloud Composer. * Apache Airflow Environment. * DAGs and Operators. * Workflow Scheduling. * Optional Long Demo: Event-triggered Loading of data with Cloud Composer, Cloud Functions, Cloud Storage, and BigQuery. * Monitoring and Logging. * Lab: An Introduction to Cloud Composer. INTRODUCTION TO PROCESSING STREAMING DATA * Processing Streaming Data. SERVERLESS MESSAGING WITH CLOUD PUB/SUB * Cloud Pub/Sub. * Lab: Publish Streaming Data into Pub/Sub. CLOUD DATAFLOW STREAMING FEATURES * Cloud Dataflow Streaming Features. * Lab: Streaming Data Pipelines. HIGH-THROUGHPUT BIGQUERY AND BIGTABLE STREAMING FEATURES * BigQuery Streaming Features. * Lab: Streaming Analytics and Dashboards. * Cloud Bigtable. * Lab: Streaming Data Pipelines into Bigtable. ADVANCED BIGQUERY FUNCTIONALITY AND PERFORMANCE * Analytic Window Functions. * Using With Clauses. * GIS Functions. * Demo: Mapping Fastest Growing Zip Codes with BigQuery GeoViz. * Performance Considerations. * Lab: Optimizing your BigQuery Queries for Performance. * Optional Lab: Creating Date-Partitioned Tables in BigQuery. INTRODUCTION TO ANALYTICS AND AI * What is AI?. * From Ad-hoc Data Analysis to Data Driven Decisions. * Options for ML models on GCP. PREBUILT ML MODEL APIS FOR UNSTRUCTURED DATA * Unstructured Data is Hard. * ML APIs for Enriching Data. * Lab: Using the Natural Language API to Classify Unstructured Text. BIG DATA ANALYTICS WITH CLOUD AI PLATFORM NOTEBOOKS * What's a Notebook. * BigQuery Magic and Ties to Pandas. * Lab: BigQuery in Jupyter Labs on AI Platform. PRODUCTION ML PIPELINES WITH KUBEFLOW * Ways to do ML on GCP. * Kubeflow. * AI Hub. * Lab: Running AI models on Kubeflow. CUSTOM MODEL BUILDING WITH SQL IN BIGQUERY ML * BigQuery ML for Quick Model Building. * Demo: Train a model with BigQuery ML to predict NYC taxi fares. * Supported Models. * Lab Option 1: Predict Bike Trip Duration with a Regression Model in BQML. * Lab Option 2: Movie Recommendations in BigQuery ML. CUSTOM MODEL BUILDING WITH CLOUD AUTOML * Why Auto ML? * Auto ML Vision. * Auto ML NLP. * Auto ML Tables.

Duration 2 Days 12 CPD hours This course is intended for Audience: Data Scientists, Software Developers, IT Architects, and Technical Managers. Participants should have the general knowledge of statistics and programming Also familiar with Python Overview ? NumPy, pandas, Matplotlib, scikit-learn ? Python REPLs ? Jupyter Notebooks ? Data analytics life-cycle phases ? Data repairing and normalizing ? Data aggregation and grouping ? Data visualization ? Data science algorithms for supervised and unsupervised machine learning Covers theoretical and technical aspects of using Python in Applied Data Science projects and Data Logistics use cases. PYTHON FOR DATA SCIENCE * ? Using Modules * ? Listing Methods in a Module * ? Creating Your Own Modules * ? List Comprehension * ? Dictionary Comprehension * ? String Comprehension * ? Python 2 vs Python 3 * ? Sets (Python 3+) * ? Python Idioms * ? Python Data Science ?Ecosystem? * ? NumPy * ? NumPy Arrays * ? NumPy Idioms * ? pandas * ? Data Wrangling with pandas' DataFrame * ? SciPy * ? Scikit-learn * ? SciPy or scikit-learn? * ? Matplotlib * ? Python vs R * ? Python on Apache Spark * ? Python Dev Tools and REPLs * ? Anaconda * ? IPython * ? Visual Studio Code * ? Jupyter * ? Jupyter Basic Commands * ? Summary APPLIED DATA SCIENCE * ? What is Data Science? * ? Data Science Ecosystem * ? Data Mining vs. Data Science * ? Business Analytics vs. Data Science * ? Data Science, Machine Learning, AI? * ? Who is a Data Scientist? * ? Data Science Skill Sets Venn Diagram * ? Data Scientists at Work * ? Examples of Data Science Projects * ? An Example of a Data Product * ? Applied Data Science at Google * ? Data Science Gotchas * ? Summary DATA ANALYTICS LIFE-CYCLE PHASES * ? Big Data Analytics Pipeline * ? Data Discovery Phase * ? Data Harvesting Phase * ? Data Priming Phase * ? Data Logistics and Data Governance * ? Exploratory Data Analysis * ? Model Planning Phase * ? Model Building Phase * ? Communicating the Results * ? Production Roll-out * ? Summary REPAIRING AND NORMALIZING DATA * ? Repairing and Normalizing Data * ? Dealing with the Missing Data * ? Sample Data Set * ? Getting Info on Null Data * ? Dropping a Column * ? Interpolating Missing Data in pandas * ? Replacing the Missing Values with the Mean Value * ? Scaling (Normalizing) the Data * ? Data Preprocessing with scikit-learn * ? Scaling with the scale() Function * ? The MinMaxScaler Object * ? Summary DESCRIPTIVE STATISTICS COMPUTING FEATURES IN PYTHON * ? Descriptive Statistics * ? Non-uniformity of a Probability Distribution * ? Using NumPy for Calculating Descriptive Statistics Measures * ? Finding Min and Max in NumPy * ? Using pandas for Calculating Descriptive Statistics Measures * ? Correlation * ? Regression and Correlation * ? Covariance * ? Getting Pairwise Correlation and Covariance Measures * ? Finding Min and Max in pandas DataFrame * ? Summary DATA AGGREGATION AND GROUPING * ? Data Aggregation and Grouping * ? Sample Data Set * ? The pandas.core.groupby.SeriesGroupBy Object * ? Grouping by Two or More Columns * ? Emulating the SQL's WHERE Clause * ? The Pivot Tables * ? Cross-Tabulation * ? Summary DATA VISUALIZATION WITH MATPLOTLIB * ? Data Visualization ? What is matplotlib? ? Getting Started with matplotlib ? The Plotting Window ? The Figure Options ? The matplotlib.pyplot.plot() Function ? The matplotlib.pyplot.bar() Function ? The matplotlib.pyplot.pie () Function ? Subplots ? Using the matplotlib.gridspec.GridSpec Object ? The matplotlib.pyplot.subplot() Function ? Hands-on Exercise ? Figures ? Saving Figures to File ? Visualization with pandas ? Working with matplotlib in Jupyter Notebooks ? Summary DATA SCIENCE AND ML ALGORITHMS IN SCIKIT-LEARN * ? Data Science, Machine Learning, AI? * ? Types of Machine Learning * ? Terminology: Features and Observations * ? Continuous and Categorical Features (Variables) * ? Terminology: Axis * ? The scikit-learn Package * ? scikit-learn Estimators * ? Models, Estimators, and Predictors * ? Common Distance Metrics * ? The Euclidean Metric * ? The LIBSVM format * ? Scaling of the Features * ? The Curse of Dimensionality * ? Supervised vs Unsupervised Machine Learning * ? Supervised Machine Learning Algorithms * ? Unsupervised Machine Learning Algorithms * ? Choose the Right Algorithm * ? Life-cycles of Machine Learning Development * ? Data Split for Training and Test Data Sets * ? Data Splitting in scikit-learn * ? Hands-on Exercise * ? Classification Examples * ? Classifying with k-Nearest Neighbors (SL) * ? k-Nearest Neighbors Algorithm * ? k-Nearest Neighbors Algorithm * ? The Error Rate * ? Hands-on Exercise * ? Dimensionality Reduction * ? The Advantages of Dimensionality Reduction * ? Principal component analysis (PCA) * ? Hands-on Exercise * ? Data Blending * ? Decision Trees (SL) * ? Decision Tree Terminology * ? Decision Tree Classification in Context of Information Theory * ? Information Entropy Defined * ? The Shannon Entropy Formula * ? The Simplified Decision Tree Algorithm * ? Using Decision Trees * ? Random Forests * ? SVM * ? Naive Bayes Classifier (SL) * ? Naive Bayesian Probabilistic Model in a Nutshell * ? Bayes Formula * ? Classification of Documents with Naive Bayes * ? Unsupervised Learning Type: Clustering * ? Clustering Examples * ? k-Means Clustering (UL) * ? k-Means Clustering in a Nutshell * ? k-Means Characteristics * ? Regression Analysis * ? Simple Linear Regression Model * ? Linear vs Non-Linear Regression * ? Linear Regression Illustration * ? Major Underlying Assumptions for Regression Analysis * ? Least-Squares Method (LSM) * ? Locally Weighted Linear Regression * ? Regression Models in Excel * ? Multiple Regression Analysis * ? Logistic Regression * ? Regression vs Classification * ? Time-Series Analysis * ? Decomposing Time-Series * ? Summary LAB EXERCISES * Lab 1 - Learning the Lab Environment * Lab 2 - Using Jupyter Notebook * Lab 3 - Repairing and Normalizing Data * Lab 4 - Computing Descriptive Statistics * Lab 5 - Data Grouping and Aggregation * Lab 6 - Data Visualization with matplotlib * Lab 7 - Data Splitting * Lab 8 - k-Nearest Neighbors Algorithm * Lab 9 - The k-means Algorithm * Lab 10 - The Random Forest Algorithm

Duration 3 Days 18 CPD hours This course is intended for Network Security Operations Workload Application Administrators Security Operations Field Engineers Network Engineers Systems Engineers Technical Solutions Architects Cisco Integrators and Partners Overview After taking this course, you should be able to: Define the Cisco telemetry and analytics approach. Explore common scenarios that Cisco Tetration Analytics can solve. Describe how the Cisco Tetration Analytics platform collects telemetry and other context information. Discuss how relative agents are installed and configured. Explore the operational aspects of the Cisco Tetration Analytics platform. Describe the Cisco Tetration Analytics support for application visibility or application insight based on the Application Dependency Mapping (ADM) feature. List the concepts of the intent-based declarative network management automation model. Describe the Cisco Tetration policy enforcement pipeline, components, functions, and implementation of application policy. Describe how to use Cisco Tetration Analytics for workload protection in order to provide a secure infrastructure for business-critical applications and data. Describe Cisco Tetration Analytics platform use cases in the modern heterogeneous, multicloud data center. List the options for the Cisco Tetration Analytics platform enhancements. Explain how to perform the Cisco Tetration Analytics administration. This course teaches how to deploy, use, and operate Cisco© Tetration Analytics? platform for comprehensive workload-protection and application and network insights across a multicloud infrastructure. You will learn how the Cisco Tetration Analytics platform uses streaming telemetry, behavioral analysis, unsupervised machine learning, analytical intelligence, and big data analytics to deliver pervasive visibility, automated intent-based policy, workload protection, and performance management. EXPLORING CISCO TETRATION * Data Center Challenges * Define and Position Cisco Tetration * Cisco Tetration Features * Cisco Tetration Architecture * Cisco Tetration Deployment Models * Cisco Tetration GUI Overview IMPLEMENTING AND OPERATING CISCO TETRATION * Explore Data Collection * Install the Software Agent * Install the Hardware Agent * Import Context Data * Describe Cisco Tetration Operational Concepts EXAMINING CISCO TETRATION ADM AND APPLICATION INSIGHT * Describe Cisco Tetration Application Insight * Perform ADM * Interpret ADM Results Application Visibility EXAMINING CISCO TETRATION INTENT-BASED NETWORKING * Describe Intent-Based Policy * Examine Policy Features * Implement Policies ENFORCING TETRATION POLICY PIPELINE AND COMPLIANCE * Examine Policy Enforcement * Implement Application Policy * Examine Policy Compliance Verification and Simulation EXAMINING TETRATION SECURITY USE CASES * Examine Workload Security * Attack Prevention * Attack Detection * Attack Remediation EXAMINING IT OPERATIONS USE CASES * Key Features and IT Operations Use Cases * Performing Operations in Neighborhood App-based Use Cases EXAMINING PLATFORM ENHANCEMENT USE CASES * Integrations and Advanced Features * Third-party Integration Examples * Explore Data Platform Capabilities EXPLORING CISCO TETRATION ANALYTICS ADMINISTRATION * Examine User Authentication and Authorization * Examine Cluster Management * Configure Alerts and Syslog ADDITIONAL COURSE DETAILS: Nexus Humans Cisco Implementing Cisco Tetration Analytics v1.0 (DCITET) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Cisco Implementing Cisco Tetration Analytics v1.0 (DCITET) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Thinking about learning Big Data? The BCS Foundation Award in Big Data teaches learners to understand how to manage Big Data and its use with Machine Learning.

Through this course, you will learn how to arrange Kafka a producer and consumer and Kafka Streams and Connectors accurately. You will also gain the skills needed to coordinate Kafka with existing application stages and to pass the Apache Kafka certification exam.

Duration 1 Days 6 CPD hours This course is intended for The primary audience for this course is data professionals who are familiar with data modeling, extraction, and analytics. It is designed for professionals who are interested in gaining knowledge about Lakehouse architecture, the Microsoft Fabric platform, and how to enable end-to-end analytics using these technologies. Job role: Data Analyst, Data Engineer, Data Scientist Overview Describe end-to-end analytics in Microsoft Fabric Describe core features and capabilities of lakehouses in Microsoft Fabric Create a lakehouse Ingest data into files and tables in a lakehouse Query lakehouse tables with SQL Configure Spark in a Microsoft Fabric workspace Identify suitable scenarios for Spark notebooks and Spark jobs Use Spark dataframes to analyze and transform data Use Spark SQL to query data in tables and views Visualize data in a Spark notebook Understand Delta Lake and delta tables in Microsoft Fabric Create and manage delta tables using Spark Use Spark to query and transform data in delta tables Use delta tables with Spark structured streaming Describe Dataflow (Gen2) capabilities in Microsoft Fabric Create Dataflow (Gen2) solutions to ingest and transform data Include a Dataflow (Gen2) in a pipeline This course is designed to build your foundational skills in data engineering on Microsoft Fabric, focusing on the Lakehouse concept. This course will explore the powerful capabilities of Apache Spark for distributed data processing and the essential techniques for efficient data management, versioning, and reliability by working with Delta Lake tables. This course will also explore data ingestion and orchestration using Dataflows Gen2 and Data Factory pipelines. This course includes a combination of lectures and hands-on exercises that will prepare you to work with lakehouses in Microsoft Fabric. INTRODUCTION TO END-TO-END ANALYTICS USING MICROSOFT FABRIC * Explore end-to-end analytics with Microsoft Fabric * Data teams and Microsoft Fabric * Enable and use Microsoft Fabric * Knowledge Check GET STARTED WITH LAKEHOUSES IN MICROSOFT FABRIC * Explore the Microsoft Fabric Lakehouse * Work with Microsoft Fabric Lakehouses * Exercise - Create and ingest data with a Microsoft Fabric Lakehouse USE APACHE SPARK IN MICROSOFT FABRIC * Prepare to use Apache Spark * Run Spark code * Work with data in a Spark dataframe * Work with data using Spark SQL * Visualize data in a Spark notebook * Exercise - Analyze data with Apache Spark WORK WITH DELTA LAKE TABLES IN MICROSOFT FABRIC * Understand Delta Lake * Create delta tables * Work with delta tables in Spark * Use delta tables with streaming data * Exercise - Use delta tables in Apache Spark INGEST DATA WITH DATAFLOWS GEN2 IN MICROSOFT FABRIC * Understand Dataflows (Gen2) in Microsoft Fabric * Explore Dataflows (Gen2) in Microsoft Fabric * Integrate Dataflows (Gen2) and Pipelines in Microsoft Fabric * Exercise - Create and use a Dataflow (Gen2) in Microsoft Fabric

Start your career in Data Science and earn up to £90,000 per month. Are you eager to dive into the high-speed world of Data Science powered by Python? In the UK alone, Data Scientist job postings witnessed a dramatic increase of 67% in 2022, emphasising the burgeoning demand for proficient Python programmers. Amid such a dynamic job market, our online course - Data Science with Python, serves as your stepping-stone to a universe of opportunities. Whether you're taking your first step into the realm of Data Science or aiming to augment your existing skills, our program offers peerless support, ensuring you're industry-ready by the time you complete our course. Our mission is simple - to be your trusted partner every step of the way, from training to employment. In addition to teaching you the technical skills you need, we will also provide you with career mentoring and support. We will help you build your resume, prepare for interviews, and land your dream job. We also have partnerships with many companies that are hiring Data Scientists, so we can help you get your foot in the door. If you are not happy with our service, we also offer a 100% money-back guarantee. So what are you waiting for? Enrol in our Data Scientist with Python Training Program today and start your journey to becoming a successful Data Scientist! If you have any questions, you can contact us. We will be happy to provide you with all the information you need. Why Choose Us? So, what sets us apart from other programs? Let's dive into the exceptional benefits you'll experience when you join our Data Scientist with Python: * Personalised Guidance: We believe in the power of individual attention. Our experienced mentors will provide one-on-one counselling sessions tailored to your specific needs. Whether you're a beginner or have some Python experience, we will guide you towards honing your skills and developing a strong foundation in both Data Science and Python. * One-On-One Consultation Sessions with Industry Experts: Gain invaluable insights and guidance from seasoned professionals who have thrived in the Data Science field. Our consultation sessions provide you with insider tips, tricks, and advice, empowering you to navigate the industry with confidence and expertise. * Extensive Job Opportunities: We have established partnerships with numerous companies actively seeking Data Scientists. Through our network, we'll connect you with exclusive job openings that are not easily accessible elsewhere. Our aim is to maximise your employment prospects and provide you with a range of exciting opportunities to choose from. * Interview Preparation: No more stress over unexpected interview questions. We provide you with access to a comprehensive database of potential interview questions curated over years of industry experience. Walk into your interviews confident, well-prepared, and ready to impress. * Money-Back Guarantee: Your satisfaction is our top priority. We are confident in the quality of our training and support, which is why we offer a 100% money-back guarantee. If, for any reason, you're not happy with our services, we'll refund your investment, no questions asked. We believe in the value we provide and want you to feel completely satisfied with your decision to join us. * Continuous Career Support: Our commitment doesn't end when you secure a job. We'll be there for you throughout your career journey, offering continued support and guidance. Whether you need advice on career advancement, assistance with new projects, or simply a friendly ear to share your achievements, we'll be your trusted partner for long-term success. Here are the courses we will provide once you enrol in the program: * Course 01: Business and Data Analytics for Beginners * Course 02: Quick Data Science Approach from Scratch * Course 03: Learn MySQL from Scratch for Data Science and Analytics * Course 04: SQL for Data Science, Data Analytics and Data Visualization * Course 05: Statistics & Probability for Data Science & Machine Learning * Course 06: R Programming for Data Science * Course 07: Python Data Science with Numpy, Pandas and Matplotlib * Course 08: Complete Python Machine Learning & Data Science Fundamentals * Course 09: 2021 Data Science & Machine Learning with R from A-Z * Course 10: Python Programming from Scratch with My SQL Database * Course 11: Level 2 Python Course * Course 12: Machine Learning for Predictive Maps in Python and Leaflet * Course 13: Python Programming Bible | Networking, GUI, Email, XML, CGI * Course 14: Python for Spatial Analysis in ArcGIS * Course 15: Ultimate Python Training for Beginners * Course 16: PyScript Fundamentals Training These courses will help you to develop your knowledge and skills to become a successful Cyber Security Expert. The Data Scientist with Python Program is completed in 9 easy steps: Step 1: Enrol in the Programme Begin your exciting journey with us by enrolling in the Data Science with Python Training program. Complete your registration and make a secure online payment. Remember, we offer a 14-day money-back guarantee if you're not completely satisfied. After you enrol in the Program, you will get lifetime access to 16 premium courses related to Data Science with Python. These courses will teach you the knowledge and skills required to become a successful Data Scientist. Our customer service team will help you and keep in contact with you every step of the way. So you won't have to worry about a thing! Step 2: Initial One-On-One Counselling Session Once enrolled, you will be paired with a dedicated career mentor. Schedule your first one-on-one session to discuss your career aspirations, skills, experience, and any areas for potential growth. This conversation will shape your learning and development path. Step 3 - Certification upon Course Completion After learning from the courses, you must obtain certificates for each course. There will be exams for every course, and you have to pass them to get your certificate. To pass successfully, you must get 90% marks. Once you pass the exams, you will receive hardcopy certificates. These certificates will prove that you're an expert in the subject. Step 4: CV Revamping Our team of professionals will build you a compelling CV and LinkedIn profile. We'll ensure it presents your skills and qualifications effectively and is tailored to the needs and expectations of the Data Science with Python industry. With these powerful tools in hand, you'll be fully prepared to tackle job interviews confidently. Step 5: Building Network and Submitting CV We understand the power of casting a wide net. We'll strategically submit your CV to various platforms and networks, expanding your reach and connecting you with valuable opportunities that align with your career goals. We will also make connections with many high-profile individuals and companies through your LinkedIn profile. Step 6: Interview Preparation With your CV ready, we'll move on to interview preparation. Gain exclusive access to our database of potential interview questions. Through simulated interviews with your mentor, you'll practice your responses and receive valuable feedback to further refine your skills. Step 7: Securing Job Interviews Leveraging our partnerships with leading companies, we'll secure job interviews for you. We'll ensure you get the opportunity to showcase your skills to potential employers and get the dream job you want. Step 8: Post-Interview Support Post-interview, we'll provide a debriefing session to reflect on your performance and identify areas of improvement for future interviews if necessary. Remember, our commitment extends until you land your dream job. Step 9: Celebrate Your New Job! Once you've secured your dream job in Data Science with Python, it's time to celebrate! However, our support doesn't end there. We'll provide you with ongoing career advice to ensure you continue to thrive in your new role. We're excited to accompany you on this journey to success. Enrol today, and let's get started! Your path to a successful career in Data Science with Python begins with us. CPD 100 CPD hours / points Accredited by CPD Quality Standards WHO IS THIS COURSE FOR? * Beginners with an interest in Data Science and Python programming. * Programmers and Software Engineers looking to transition into Data Science. * Business Analysts and Project Managers aiming to leverage Data Science in their domains. * Researchers and Academics who wish to utilise Python for complex data analysis. REQUIREMENTS No experience required. Just enrol & start learning. CAREER PATH * Data Scientist: £60,000 - £90,000 * Machine Learning Engineer: £65,000 - £100,000 * Data Analyst: £40,000 - £60,000 * Business Intelligence Analyst: £45,000 - £70,000 * Data Engineer: £50,000 - £80,000 * Big Data Architect: £70,000 - £120,000 CERTIFICATES CPD ACCREDITED E-CERTIFICATE Digital certificate - Included CPD ACCREDITED FRAMED (HARDCOPY) CERTIFICATE Hard copy certificate - Included ENROLMENT LETTER Digital certificate - Included QLS ENDORSED HARD COPY CERTIFICATE Hard copy certificate - Included STUDENT ID CARD Digital certificate - Included

Start your career in Data Science and earn up to £90,000 per month. Are you eager to dive into the high-speed world of Data Science powered by Python? In the UK alone, Data Scientist job postings witnessed a dramatic increase of 67% in 2022, emphasising the burgeoning demand for proficient Python programmers. Amid such a dynamic job market, our online course - Data Science with Python, serves as your stepping-stone to a universe of opportunities. Whether you're taking your first step into the realm of Data Science or aiming to augment your existing skills, our program offers peerless support, ensuring you're industry-ready by the time you complete our course. Our mission is simple - to be your trusted partner every step of the way, from training to employment. In addition to teaching you the technical skills you need, we will also provide you with career mentoring and support. We will help you build your resume, prepare for interviews, and land your dream job. We also have partnerships with many companies that are hiring Data Scientists, so we can help you get your foot in the door. If you are not happy with our service, we also offer a 100% money-back guarantee. So what are you waiting for? Enrol in our Data Scientist with Python Training Program today and start your journey to becoming a successful Data Scientist! If you have any questions, you can contact us. We will be happy to provide you with all the information you need. Why Choose Us? So, what sets us apart from other programs? Let's dive into the exceptional benefits you'll experience when you join our Data Scientist with Python: * Personalised Guidance: We believe in the power of individual attention. Our experienced mentors will provide one-on-one counselling sessions tailored to your specific needs. Whether you're a beginner or have some Python experience, we will guide you towards honing your skills and developing a strong foundation in both Data Science and Python. * One-On-One Consultation Sessions with Industry Experts: Gain invaluable insights and guidance from seasoned professionals who have thrived in the Data Science field. Our consultation sessions provide you with insider tips, tricks, and advice, empowering you to navigate the industry with confidence and expertise. * Extensive Job Opportunities: We have established partnerships with numerous companies actively seeking Data Scientists. Through our network, we'll connect you with exclusive job openings that are not easily accessible elsewhere. * Interview Preparation: No more stress over unexpected interview questions. We provide you with access to a comprehensive database of potential interview questions curated over years of industry experience. Walk into your interviews confident, well-prepared, and ready to impress. * Money-Back Guarantee: Your satisfaction is our top priority. We are confident in the quality of our training and support, which is why we offer a 100% money-back guarantee. If, for any reason, you're not happy with our services, we'll refund your investment, no questions asked. We believe in the value we provide and want you to feel completely satisfied with your decision to join us. * Continuous Career Support: Our commitment doesn't end when you secure a job. We'll be there for you throughout your career journey, offering continued support and guidance. Here are the courses we will provide once you enrol in the program: * Course 01: Business and Data Analytics for Beginners * Course 02: Quick Data Science Approach from Scratch * Course 03: Learn MySQL from Scratch for Data Science and Analytics * Course 04: SQL for Data Science, Data Analytics and Data Visualization * Course 05: Statistics & Probability for Data Science & Machine Learning * Course 06: R Programming for Data Science * Course 07: Python Data Science with Numpy, Pandas and Matplotlib * Course 08: Complete Python Machine Learning & Data Science Fundamentals * Course 09: 2021 Data Science & Machine Learning with R from A-Z * Course 10: Python Programming from Scratch with My SQL Database * Course 11: Level 2 Python Course * Course 12: Machine Learning for Predictive Maps in Python and Leaflet * Course 13: Python Programming Bible | Networking, GUI, Email, XML, CGI * Course 14: Python for Spatial Analysis in ArcGIS * Course 15: Ultimate Python Training for Beginners * Course 16: PyScript Fundamentals Training How Can We Offer Job Guarantees? HF Online provides consultancy, professional and educational services to many of the companies in the UK. During our intense exclusive training program, you will not just gain and complete the industry valuable certification but will gain industry experience as well, which is imperative to get your 1st job in the sector. The Data Scientist with Python Program is completed in 9 easy steps: Step 1: Enrol in the Programme Begin your exciting journey with us by enrolling in the Data Science with Python Training program. Complete your registration and make a secure online payment. Remember, we offer a 14-day money-back guarantee if you're not completely satisfied. After you enrol in the Program, you will get lifetime access to 16 premium courses related to Data Science with Python. These courses will teach you the knowledge and skills required to become a successful Data Scientist. Our customer service team will help you and keep in contact with you every step of the way. So you won't have to worry about a thing! Step 2: Initial One-On-One Counselling Session Once enrolled, you will be paired with a dedicated career mentor. Schedule your first one-on-one session to discuss your career aspirations, skills, experience, and any areas for potential growth. This conversation will shape your learning and development path. Step 3 - Certification upon Course Completion After learning from the courses, you must obtain certificates for each course. There will be exams for every course, and you have to pass them to get your certificate. To pass successfully, you must get 90% marks. Once you pass the exams, you will receive hardcopy certificates. These certificates will prove that you're an expert in the subject. Step 4: CV Revamping Our team of professionals will build you a compelling CV and LinkedIn profile. We'll ensure it presents your skills and qualifications effectively and is tailored to the needs and expectations of the Data Science with Python industry. With these powerful tools in hand, you'll be fully prepared to tackle job interviews confidently. Step 5: Building Network and Submitting CV We understand the power of casting a wide net. We'll strategically submit your CV to various platforms and networks, expanding your reach and connecting you with valuable opportunities that align with your career goals. We will also make connections with many high-profile individuals and companies through your LinkedIn profile. Step 6: Interview Preparation With your CV ready, we'll move on to interview preparation. Gain exclusive access to our database of potential interview questions. Through simulated interviews with your mentor, you'll practice your responses and receive valuable feedback to further refine your skills. Step 7: Securing Job Interviews Leveraging our partnerships with leading companies, we'll secure job interviews for you. We'll ensure you get the opportunity to showcase your skills to potential employers and get the dream job you want. Step 8: Post-Interview Support Post-interview, we'll provide a debriefing session to reflect on your performance and identify areas of improvement for future interviews if necessary. Remember, our commitment extends until you land your dream job. Step 9: Celebrate Your New Job! Once you've secured your dream job in Data Science with Python, it's time to celebrate! However, our support doesn't end there. We'll provide you with ongoing career advice to ensure you continue to thrive in your new role. We're excited to accompany you on this journey to success. Enrol today, and let's get started! Your path to a successful career in Data Science with Python begins with us. CPD 100 CPD hours / points Accredited by CPD Quality Standards WHO IS THIS COURSE FOR? * Beginners with an interest in Data Science and Python programming. * Programmers and Software Engineers looking to transition into Data Science. * Business Analysts and Project Managers aiming to leverage Data Science in their domains. * Researchers and Academics who wish to utilise Python for complex data analysis. REQUIREMENTS No experience required. Just enrol & start learning. CAREER PATH * Data Scientist: £60,000 - £90,000 * Machine Learning Engineer: £65,000 - £100,000 * Data Analyst: £40,000 - £60,000 * Business Intelligence Analyst: £45,000 - £70,000 * Data Engineer: £50,000 - £80,000 * Big Data Architect: £70,000 - £120,000 CERTIFICATES CPD ACCREDITED E-CERTIFICATE Digital certificate - Included CPD ACCREDITED FRAMED (HARDCOPY) CERTIFICATE Hard copy certificate - Included ENROLMENT LETTER Digital certificate - Included QLS ENDORSED HARD COPY CERTIFICATE Hard copy certificate - Included STUDENT ID CARD Digital certificate - Included

Start your career as a Data Analyst and earn upto £35,000/ Month Have you ever imagined commanding a six-figure salary with the power of Python? Welcome to the "Data Analyst with Python - Job Ready Program with Career Support", where the world of big data is at your fingertips, and the only limit is your own curiosity. Explore the revolutionary journey that is geared towards turning raw data into insightful decisions. Our comprehensive program paves the way to becoming a sought-after Data Analyst, unlocking the door to a thriving career field as Python continues to spearhead the data revolution. Our mission is simple - to be your trusted partner every step of the way, from training to employment. In addition to teaching you the technical skills you need, we will also provide you with career mentoring and support. We will help you build your resume, prepare for interviews, and land your dream job. We also have partnerships with many companies that are hiring Data Analysts with Python expertise, so we can help you get your foot in the door. If you are not happy with our service, we also offer a 100% money-back guarantee. So what are you waiting for? Enrol in our Data Analyst with Python - Job Ready Program today and start your journey to becoming a successful Data Analyst! Why Choose Us? So, what sets us apart from other programs? Let's dive into the exceptional benefits you'll experience when you join our Data Analyst with Python Job Ready Program: * Personalised Guidance: Our experienced mentors will provide one-on-one counselling sessions tailored to your specific needs. Whether you're a beginner or have some experience, we will guide you towards honing your skills and developing a strong foundation in Data Analysis with Python. * One-On-One Consultation Sessions with Experts: Gain invaluable insights and guidance from seasoned professionals who have thrived in the Data Analyst field. Our consultation sessions provide you with insider tips, tricks, and advice, empowering you to navigate the industry with confidence and expertise. * Extensive Job Opportunities: We have established partnerships with numerous companies actively seeking IT Helpdesk Support. Through our network, we'll connect you with exclusive job openings that are not easily accessible elsewhere. * Interview Preparation: We provide you with access to a comprehensive database of potential interview questions curated over years of industry experience. Walk into your interviews confident, well-prepared, and ready to impress. * Money-Back Guarantee: Your satisfaction is our top priority. We are confident in the quality of our training and support, which is why we offer a 100% money-back guarantee. * Continuous Career Support: Our commitment doesn't end when you secure a job. We'll be there for you throughout your career journey, offering continued support and guidance. . If you have any questions, you can contact us. We will be happy to provide you with all the information you need. Here are the courses we will provide once you enrol in the program: * Course 01: Business and Data Analytics for Beginners * Course 02: Quick Data Science Approach from Scratch * Course 03: Learn MySQL from Scratch for Data Science and Analytics * Course 04: SQL for Data Science, Data Analytics and Data Visualization * Course 05: Statistics & Probability for Data Science & Machine Learning * Course 06: R Programming for Data Science * Course 07: Python Data Science with Numpy, Pandas and Matplotlib * Course 08: Complete Python Machine Learning & Data Science Fundamentals * Course 09: 2021 Data Science & Machine Learning with R from A-Z * Course 10: Python from Scratch * Course 11: Level 2 Python Course * Course 12: Machine Learning for Predictive Maps in Python and Leaflet * Course 13: Python Programming Bible | Networking, GUI, Email, XML, CGI * Course 14: Python for Spatial Analysis in ArcGIS * Course 15: Ultimate Python Training for Beginners * Course 16: Python Level 1 Crash Course * Course 17: Python Programming from Scratch with My SQL Database These courses will help you to develop your knowledge and skills to become a successful Data Analyst. How Can We Offer Job Guarantees? HF Online provides consultancy, professional and educational services to many of the companies in the UK. During our intense exclusive training program, you will not just gain and complete the industry valuable certification but will gain industry experience as well, which is imperative to get your 1st job in the sector. The Data Analyst with Python Program is completed in 9 easy steps: Step 1: Enrol in the Programme Begin your exciting journey with us by enrolling in the Data Analyst with Python program. Complete your registration and make a secure online payment. Remember, we offer a 14-day money-back guarantee if you're not completely satisfied. After you enrol in the Program, you will get lifetime access to 17 premium courses related to Data Analysis with Python. These courses will teach you the knowledge and skills required to become a successful Data Analyst with Python Programmer. Our customer service team will help you and keep in contact with you every step of the way. So you won't have to worry about a thing! Step 2: Initial One-On-One Counselling Session Once enrolled, you will be paired with a dedicated career mentor. Schedule your first one-on-one session to discuss your career aspirations, skills, experience, and any areas for potential growth. This conversation will shape your learning and development path. Step 3: Certification upon Course Completion After learning from the courses, you must obtain certificates for each course. There will be exams for every course, and you have to pass them to get your certificate. To pass successfully, you must get 90% marks. Once you pass the exams, you will receive hardcopy certificates. These certificates will prove that you're an expert in the subject. Step 4: CV Revamping Our team of professionals will build you a compelling CV and LinkedIn profile. We'll ensure it presents your skills and qualifications effectively and is tailored to the needs and expectations of the Finance industry. With these powerful tools in hand, you'll be fully prepared to tackle job interviews confidently. Step 5: Building Network and Submitting CV We understand the power of casting a wide net. We'll strategically submit your CV to various platforms and networks, expanding your reach and connecting you with valuable opportunities that align with your career goals. We will also make connections with many high-profile individuals and companies through your LinkedIn profile. Step 6: Interview Preparation With your CV ready, we'll move on to interview preparation. Gain exclusive access to our database of potential interview questions. Through simulated interviews with your mentor, you'll practice your responses and receive valuable feedback to further refine your skills. Step 7: Securing Job Interviews Leveraging our partnerships with leading companies, we'll secure job interviews for you. We'll ensure you get the opportunity to showcase your skills to potential employers and get the dream job you want. Step 8: Post-Interview Support Post-interview, we'll provide a debriefing session to reflect on your performance and identify areas of improvement for future interviews if necessary. Remember, our commitment extends until you land your dream job. Step 9: Celebrate Your New Job! Once you've secured your dream job in Data Analysis with Python, it's time to celebrate! However, our support doesn't end there. We'll provide you with ongoing career advice to ensure you continue to thrive in your new role. We're excited to accompany you on this journey to success. Enrol today, and let's get started! Your path to a successful career in Data Analysis with Python begins with us. CPD 100 CPD hours / points Accredited by CPD Quality Standards WHO IS THIS COURSE FOR? This course is tailored to suit a broad spectrum of learners, including: * Aspiring Data Analysts who want to launch a new career in data analytics. * Current analysts or professionals from similar fields looking to hone their Python skills and modernise their toolset. * Business and IT students or recent graduates desiring a competitive edge in the job market. * Career shifters interested in a more dynamic and high-paying field. * Any individual who loves working with numbers, solving problems, and has a curiosity for uncovering insights in data. REQUIREMENTS No experience required. Just enrol & start learning. CAREER PATH * Data Analyst: £27,000 - £60,000 * Senior Data Analyst: £40,000 - £75,000 * Data Scientist: £50,000 - £100,000 * Data Engineer: £45,000 - £90,000 * Analytics Manager: £60,000 - £120,000 * Director of Data Science: £90,000 - £150,000 CERTIFICATES CPD ACCREDITED E-CERTIFICATE Digital certificate - Included CPD ACCREDITED FRAMED (HARDCOPY) CERTIFICATE Hard copy certificate - Included ENROLMENT LETTER Digital certificate - Included QLS ENDORSED HARD COPY CERTIFICATE Hard copy certificate - Included STUDENT ID CARD Digital certificate - Included