Pay After Placement

Your Career, Our Guarantee!

Become a Job-Ready Data Analysts
in Just 4 Months!

  • Pay a small registration fee and start your journey.
  • Pay the course fees after you get placed! Enroll Today!

Google Rating

5.0 ★★★★★

Register Now

I have read and agree to the Privacy Policy and Terms and Conditions of Use.

Course Overview

We’ve crafted this comprehensive Data Analytics Course to provide in-depth knowledge of all key aspects of data analytics, including Python programming, data visualization using tools like Power BI, and advanced data analysis techniques. Whether you prefer offline or online learning, our program ensures flexibility and effectiveness, enabling you to become proficient in the most in-demand skills in the field of data analytics.

Who Can Attend This Data Analytics Certification Course?

Graduates and Freshers

Kickstart your career in tech with a strong foundation in Data Analytics.

Professionals Seeking Career Transition

Transition into the high-demand field of Data Analytics

Coding Enthusiasts and Learners

Explore the art of analyzing and visualizing data to uncover insights.

Experienced Developers

Upskill with the latest technologies and industry practices in Data Analytics.

Key Features

6Months

Global Certification

15+ Tools

400 Hours

10+ Projects

50+ Assesments

Level

Beginners

Students

113,290

Duration:

4 Months

Course Curriculum

  • What is Data Analytics?
  • Types of Data Analytics (Descriptive, Diagnostic, Predictive, Prescriptive)
  • Applications of Data Analytics in Different Industries
  • Overview of Data Analytics Tools (Excel, SQL, Python, Power BI, Tableau)
  • Setting up the Environment (Anaconda, Jupyter Notebook, Google Colab)
  •  
  1. Python Basics
    • Introduction to Python
    • Data Types, Variables, Operators
    • Control Structures (Loops, If-Else, Functions)
    • List, Tuple, Dictionary, Set Operations
    • File Handling
  2. NumPy & Pandas
    • Introduction to NumPy (Arrays, Indexing, Slicing)
    • NumPy Operations (Mathematical & Statistical)
    • Pandas DataFrames & Series
    • Data Cleaning & Manipulation (Handling Missing Values, Duplicates, Filtering)
    • Aggregation & Grouping
  3. Data Visualization with Matplotlib & Seaborn
    • Introduction to Matplotlib
    • Line, Bar, Scatter, Histogram, Box Plots
    • Seaborn for Advanced Visualizations
    • Customizing Plots
  • Introduction to Databases & SQL
  • CRUD Operations (SELECT, INSERT, UPDATE, DELETE)
  • Filtering, Sorting, Grouping
  • Joins (Inner, Left, Right, Full)
  • Subqueries & CTEs
  • Window Functions & Aggregate Functions
  • SQL Case Studies & Hands-on Queries
  • Descriptive Statistics (Mean, Median, Mode, Variance, Standard Deviation)
  • Probability Basics
  • Normal Distribution & Central Limit Theorem
  • Hypothesis Testing (T-test, Chi-Square Test, ANOVA)
  • Correlation & Regression
  • Understanding Data (Types, Distributions)
  • Identifying Outliers
  • Feature Engineering
  • Handling Missing Data
  • Data Transformation Techniques
  1. Excel for Data Analytics
    • Pivot Tables & Charts
    • Advanced Excel Formulas
    • Data Cleaning with Excel
  2. Power BI
    • Introduction to Power BI
    • Creating Dashboards & Reports
    • DAX Functions
  • End-to-End Data Analytics Project
  • Data Collection, Cleaning, and Processing
  • EDA & Visualization
  • Business Insights & Report Preparation
  • Project Presentation
  • Resume Building
  • Business Case Studies
  • Technical Interview Preparation (SQL, Python, Statistics)
  • Mock Interviews

Tools & Technologies

What Our Students Says

FAQ's

A Data Analyst is a professional who collects, processes, and analyzes data to help organizations make informed decisions. In this course, you’ll learn essential skills including Python programming, Excel, SQL, data visualization with tools like Power BI or Tableau, statistics, and hands-on data analysis techniques. You'll also work on real-world projects to build a strong portfolio that showcases your analytical capabilities.

No prior experience is required. We start from the basics and gradually build up, making the course beginner-friendly.

We offer both online and offline classes. You can choose the mode that suits your learning preference.

You pay nothing upfront. Start paying the course fee only after you get placed in a qualifying job through SkyllX.

Yes! We provide complete placement support, including mock interviews, resume building, and job referrals with top companies.

I have read and agree to the Privacy Policy and Terms and Conditions of Use.