Learn Data Analytics with 100% practical, tool-based, and industry-focused training. This course covers Excel, Advanced Excel, SQL, Python for Data Analysis, Power BI, Tableau, Statistics, Dashboard Creation, Data Wrangling, Visualization Techniques, and Real-Time Business Case Studies. You will work on real datasets, learn to clean, transform, analyze and visualize data to derive meaningful business insights. By the end, you will be job-ready for roles like Data Analyst, Business Analyst, Reporting Analyst, and BI Developer.
Handle missing values, duplicates, transformations & real dataset preparation.
Create dashboards using Power BI, Tableau & advanced charting techniques.
Write queries, perform analysis & automate workflows using Python pandas.
Learn the analytical approach used in industries for data-driven decisions.
This Data Analytics course provides complete practical training on handling, analyzing, and visualizing data using the latest industry tools. You will understand how organizations use data for decision-making, forecasting, performance tracking, and solving business problems.
You will work with tools like Excel, SQL, Python, Power BI, and Tableau. Training includes real-life projects such as sales analysis, customer behaviour prediction, performance analysis, KPI dashboards, and reporting automation.
By the end of this course, you will be ready to apply for Data Analyst, Reporting Analyst, MIS Analyst, or Business Analyst positions with strong project exposure and portfolio.
Real-time datasets, dashboards, business case studies & project-based learning.
Resume building, interview preparation, portfolio creation & job assistance.
Excel basics to advanced, formulas, pivot tables, dashboards, descriptive & inferential statistics.
Queries, joins, data manipulation, Python pandas, NumPy, data cleaning & automation.
Dashboards, DAX, visual storytelling, business reports, KPIs, filters, and interactive analytics.
The course was very practical, especially the Power BI dashboards. I got an MIS Analyst job with the help of the training.
SQL, Python, and real datasets helped me understand analytics clearly. Highly recommended for beginners and freshers.