This course is designed to provide you with an in-depth understanding of the complex world of data analytics. You will learn how to use analytical methods, tools, and techniques to draw insights from large datasets, as well as gain a comprehensive overview of the various tools and technologies used for data visualization, analysis, and storage.

You will be introduced to the fundamentals of data analysis including the different types of analytics (descriptive, predictive, and prescriptive), how to construct models from data, and how to interpret results. You will also explore modern data sources such as Big Data platforms like Hadoop and Spark.

At the end of this course, you should have all the skills necessary to analyse data effectively and efficiently. So, let us get started!

Course Currilcum

Module 1
- Module 1: Introduction to Data Analytics 00:00:00
- The course focuses on the development of technical skills and knowledge necessary to extract meaningful insights from data through the application of various analytics techniques. Students will gain proficiency in developing the right questions, exploring datasets, selecting appropriate methods for analysis, interpreting results properly and communicating findings effectively.
Module 2
- Module 2: Business and Industry Trends in Data Analytics 00:00:00
- Business and Industry Trends in Data Analytics
Module 3
- Module 3: Working with Datasets & Visualization Tools 00:00:00
Module 4
- Module 4: Predictive Modelling Using Machine Learning Algorithms 00:00:00
Module 5
- Module 5: Big Data for Advanced Analytical Workflows 00:00:00
Module 6
- Module 6: Storytelling with Insights from data analysis 00:00:00
- Storytelling with Insights from data analysis

Course Instructors

CKC Institute

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