The Data Analysis Training Program is designed to equip students with in-demand skills to collect, clean, analyze, and visualize data for better decision-making. Following industry-standard frameworks, students will gain proficiency in Excel, SQL, Python for Data Science, and BI tools (Power BI & Tableau). This hands-on program prepares learners for roles in business, finance, technology, and beyond, with a focus on solving real-world data challenges.
Classes hold twice a week:
Weekdays Option: Monday & Wednesday, 10 AM – 2 PM
Weekend Option: Saturday, 10 AM – 2 PM OR Sunday, 12 PM – 4 PM
Data collection, cleaning, and preprocessing
Exploratory Data Analysis (EDA) and statistical methods
SQL for querying and managing databases
Python for data science (NumPy, Pandas, Matplotlib, Seaborn)
Data visualization with Power BI and Tableau
Building dashboards and data storytelling techniques
Basics of machine learning and predictive analytics
By the end of this program, students will be able to:
✅ Collect, clean, and preprocess raw datasets for analysis
✅ Use Excel and SQL to manage, query, and organize data
✅ Perform statistical and exploratory data analysis
✅ Write Python scripts to automate data processing and analysis
✅ Build professional visualizations and dashboards in Power BI & Tableau
✅ Create simple predictive models for business insights
✅ Confidently apply for Data Analyst, Business Intelligence, or Junior Data Scientist roles
Business & Finance → analyzing sales trends, financial forecasting
Healthcare → interpreting patient data and improving decision-making
Technology → product analytics, user behavior insights
Government & NGOs → policy planning and social data analysis
E-commerce & Marketing → campaign analysis, customer segmentation
