Data Analytics
Our Courses
PROFFESSIONAL CERTIFICATION IN ADVANCED DATA VISUALIZATION & ANALYSIS
(DURATION :
8 M/288 HOURS)
Advanced Data Visualization & Analysis Course helps the student learn Analysis Tools and Techniques and also learns how to work with SQL databases, R and Python, how to create data visualizations, and apply statistics and predictive analytics in a business environment.
ADVANCED DIPLOMA IN DATA ANALYSIS - ADDA
(DURATION : 288 HOURS / 8 MONTHS)
This course helps you to build a bright career in data analysis covering the full lifecycle, which include data analysis, basic data analytics, activities and design of dash boards using Advanced Excel, Power BI and Python programming for advanced analysis.
ADVANCED CERTIFICATION IN DATA VISUALIZATION AND ANALYSIS
(DURATION :
6 MONTHS/216 HOURS)Data Visualization & Analysis course is designed to help the student use Reports to find answers to your business questions. Student will learn how the reporting interface and navigation work, how to run reports to get the answers they are looking for, and how to configure reports for effective decision-making.
DATA ANALYSIS USING R - PROGRAMMING
(DURATION :
4 MONTHS/144 HOURS)
The Objective of this course is to gain a comprehensive understanding of R programming and its applications in data analysis. Understand and apply object-oriented programming concepts in R. Learn to create and customize graphs. Perform descriptive and inferential statistics using R packages and build linear and logistic regression models with R.
CERTIFICATE COURSE IN DATA ANALYTICS - CCDA
(DURATION :
2 Months/72Hrs.)The Objective of this course is to learn the core concepts of both the front end and backend programming. This is a valuable Course for Students, programmers and developers which helps them to build dynamic, rich web sites and web applications using compiled language like C#.
Data Analytics
Data Analytics is the process of collecting, organizing, and analyzing raw data to discover useful insights, patterns, and trends. It helps businesses make smarter decisions, predict outcomes, and improve performance. From marketing to healthcare, finance to sports — data analytics is shaping the future of every industry.
It’s the process of analyzing raw data to find trends, patterns, and insights for better decision-making.
Basic knowledge of Python or SQL helps, but many tools like Excel, Power BI, and Tableau are beginner-friendly.
Students, working professionals, freshers — anyone interested in problem-solving and data can learn it.