Description

Explore the diverse realm of Big Data Analytics, delving into data mining, machine learning, and natural language processing. Uncover the ethical and legal dimensions, and gain practical insights through real-world case studies.

Discover types of Big Data analytics, delve into the data mining process, and apply machine learning techniques. Learn about natural language processing principles, assess the impact across industries, and navigate ethical considerations.

After the successful completion of this course, you will be able to:

Identify the types of Big Data analytics, such as descriptive, predictive, and prescriptive analytics.

Understand the data mining process and its role in Big Data analytics.

Apply machine learning techniques like classification, regression, and clustering to analyse Big Data.

Describe the principles and applications of natural language processing in Big Data analytics.

Recognize the benefits and limitations of Big Data analytics in different industries, such as healthcare, finance, and marketing.

Evaluate the accuracy and reliability of Big Data analytics results.

Understand Big Data analytics's ethical and legal considerations, such as data privacy and intellectual property rights.

Analyze case studies and examples of successful implementation of Big Data analytics in different industries, such as predicting customer churn, fraud detection, and personalized medicine.

Immerse yourself in Big Data Analytics, mastering techniques to extract valuable insights. From predictive modelling to ethical considerations, this course empowers you with the skills to excel in a data-driven landscape, with applications ranging from healthcare to finance.

VIDEO - Course Structure and Assessment Guidelines Watch this video to gain further insight.

Navigating the MSBM Study Portal Watch this video to gain further insight.

Interacting with Lectures/Learning Components Watch this video to gain further insight.

Big Data Analytics, Techniques and Models Self-paced pre-recorded learning content on this topic.

Big Data Analytics Put your knowledge to the test with this quiz. Read each question carefully and choose the response that you feel is correct.

All MSBM courses are accredited by the relevant partners and awarding bodies. Please refer to MSBM accreditation in about us for more details.

There are no strict entry requirements for this course. Work experience will be an added advantage to understanding the content of the course.

The certificate is designed to enhance the learner's knowledge in the field. This certificate is for everyone who is eager to know more and get updated on current ideas in their respective field. We recommend this certificate for the following audience.

Big Data Analyst

Data Scientist

Machine Learning Engineer

Business Intelligence Analyst

Predictive Analytics Expert

Information Architect

Data Engineer

AI Solutions Architect

Average Completion Time

2 Weeks

Accreditation

3 CPD Hours

Level

Advanced

Start Time

Anytime

100% Online

Study online with ease.

Unlimited Access

24/7 unlimited access with pre-recorded lectures.

Low Fees

Our fees are low and easy to pay online.

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Professional Certificate Course in Big Data Analytics in London 2024

By Metropolitan School of Business & Management UK

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