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Course Duration

4 Months

Learning Format

Live + Self-Paced

Course Fees

15,000 (Incl. GST)

Certification

Govt. Recognized

Course Introduction

Welcome to the Data Analytics Course - your gateway to becoming a data-driven decision maker! In today's data-centric business environment, the ability to analyze, interpret, and derive actionable insights from data is a critical skill across all industries.

This comprehensive course covers the entire data analytics pipeline - from data collection and cleaning to statistical analysis, predictive modeling, and insight presentation. You'll work with real-world datasets and learn industry-standard tools that are in high demand.

Whether you're looking to start a career in data analytics or enhance your current role with data skills, this course provides the practical knowledge and hands-on experience you need to succeed.

Who Should Enroll:

  • Aspiring Data Analysts and Business Analysts
  • Professionals wanting to add data skills to their toolkit
  • IT professionals transitioning to data roles
  • Managers and decision-makers needing data literacy
  • Recent graduates looking to enter the data field

Tools You'll Master:

  • Python for Data Analysis (Pandas, NumPy)
  • SQL for Database Querying
  • Excel Advanced Analytics
  • Tableau for Visualization
  • Power BI for Business Intelligence
  • Statistical Analysis with R
Course Syllabus
Module 1: Foundations of Data Analytics
1 month
Introduction to data analytics, data types and structures, data lifecycle, role of data analyst, business intelligence vs. data analytics, and ethical considerations in data handling.
Module 2: Data Wrangling & Preparation
2 month
Data collection methods, data cleaning techniques, handling missing values, data transformation, feature engineering, and data quality assessment using Python and SQL.
Module 3: Statistical Analysis & Hypothesis Testing
3 month
Descriptive statistics, probability distributions, inferential statistics, hypothesis testing, confidence intervals, ANOVA, correlation analysis, and regression analysis.
Module 4: SQL for Data Analysis
4 month
Database fundamentals, SQL queries (SELECT, JOIN, GROUP BY, HAVING), subqueries, window functions, CTEs, performance optimization, and working with large datasets.
Module 5: Python for Data Analysis
Last Weeks
Python programming basics, Pandas for data manipulation, NumPy for numerical computing, data visualization with Matplotlib and Seaborn, and exploratory data analysis techniques.
Fee Structure (INR)
Complete Course Package
15,000
Includes 18% GST. Price covers all software, cloud resources, datasets, and dual certification.

Payment Methods Accepted:

UPI
Credit/Debit Card
Net Banking
EMI (3-12 months)
Note: Includes 8 months software access, 15+ real-world projects, interview preparation, and placement assistance. 100% money-back guarantee within first 14 days if not satisfied.
Course Timeline

Our 4-month intensive program is structured to build your data analytics skills progressively with practical projects at every stage.

F
Fundamentals
Month 1
D
Data Wrangling
Month 2
S
Statistics & SQL
Month 3
P
Python & Projects
Month 4