Duration: 6 Months


16 Jan ,2023


The Data Analytics Certificate offers an introduction to data analysis concepts, the job of a data analyst, and the tools employed in routine tasks. You will learn the basics of data analysis, such as data gathering and data mining, as well as the data ecosystem. The soft skills needed to effectively convey your data to stakeholders will next be covered, along with how mastering these abilities can enable you to make decisions based on data. The next step is to identify the key players in the data ecosystem and investigate the various technologies available both locally and online. Explore more of this thrilling voyage and learn about Hadoop, Hive, and Spark, three popular big data technologies. With the help of this certificate, you will be able to picture what a data analyst does on a daily basis, comprehend the various career options in data analytics, and locate the numerous resources that are available to help you become an expert in this field.

The basics of data collection will be explored, and you’ll discover how to identify your data sources. The usage of visualizations and dashboard tools will next be covered as you learn how to clean, analyze, and share your data. All of this is brought together in the final project, which will evaluate your understanding of the certificate material, investigate what it means to be a Data Analyst, and present a real-world data analysis problem.

Scope of Data Analytics

If you are considering a job in data analytics. You can prepare for a position as a data analyst by earning a certification in data analytics, which will provide you with all the skills and knowledge required.


After the completion of this certificate, students would be able to:
  • Work with data analysis tools
  • Work with data visualization, normalization and big data
  • Work as a data analyst


Week Lecture Topics
1 1 Introduction to Data and Data Analytics
2 2 Data Structures and Algorithms
3 3 Probability and Statistics Concepts
4 4 Relational Database Management System Concepts
5 5 Business Fundamentals
6 6 Text Analysis
7 7 Data Collection
8 8 Data Visualization
9 9 Statistical Analysis
10 10 Forecasting Data Analysis
11 11 Mid Term Paper
12 12 Supply chain Analytics
13 13 Customer Analytics
14 14 Retail Analytics
15 15 Social Networking Analysis
16 16 Pricing Analysis
17 17 Marketing Analysis
18 18 Optimization
19 19 Data Reduction and Normalization  
20 20 Big Data Analytics  
21 21 Machine Learning
22 22 Simulation
23 23 Final Project
24 24 Final Term Presentation


  • To learn data analysis and data visualization
  • Working with Bigdata platforms


  • Intermediate/O/A-levels
  • Basic Programming Skills
  • Basic Computer Skills

Mode of Classes:

Classes Mode City

On Campus




Affiliations & Collaborations: