INDUSTRY READY DATA SCIENCE PROGRAM

Become the
Top 1% Data Scientist

Analyze • Predict • Build • Innovate

Python Machine Learning SQL Deep Learning Power BI
Enroll Now
INDUSTRY READY CURRICULUM

What You'll Learn in the Data Analyst Program

Master every essential Data Analytics skill required to become a job-ready Data Analyst through real-world projects, Python, SQL, Excel, Power BI, Data Visualization, Machine Learning fundamentals, and industry-standard tools.

01

Introduction to Data Analytics

  • Modern Data Ecosystem
  • Role of a Data Analyst
  • Types of Data
  • Data Analytics vs Data Analysis
  • Career Roadmap
02

Data Ecosystem & Databases

  • RDBMS Concepts
  • NoSQL Overview
  • Data Warehouses
  • Data Lakes
  • ETL & Data Pipelines
03

Python Programming

  • Variables & Data Types
  • Operators & Expressions
  • Loops & Functions
  • Exception Handling
  • OOP Basics
04

Python Data Structures

  • Lists & Tuples
  • Dictionaries
  • Sets
  • Strings
  • File Handling
05

Data Collection

  • APIs
  • REST APIs
  • Web Scraping
  • CSV, JSON & Excel Files
  • Data Import Techniques
06

Pandas & NumPy

  • NumPy Arrays
  • Pandas DataFrames
  • Reading & Writing Data
  • Filtering Data
  • Data Manipulation
07

SQL for Data Analysis

  • DDL & DML
  • SELECT Queries
  • Joins
  • Aggregate Functions
  • Subqueries
08

Advanced SQL

  • GROUP BY
  • Sorting & Filtering
  • Date Functions
  • Database Access with Python
  • Business Queries
09

Data Wrangling

  • Data Cleaning
  • Missing Values
  • Normalization
  • Binning
  • Feature Formatting
10

Exploratory Data Analysis

  • Descriptive Statistics
  • Correlation
  • GroupBy Analysis
  • Chi-Square Test
  • Business Insights
11

Machine Learning Basics

  • Linear Regression
  • Polynomial Regression
  • Model Evaluation
  • Overfitting
  • Grid Search
12

Excel for Data Analytics

  • Lookup Functions
  • Pivot Tables
  • Charts
  • Conditional Formatting
  • Dashboards
13

Power BI Dashboarding

  • Power BI Interface
  • Data Modelling
  • Power Query
  • DAX Basics
  • Interactive Dashboards
14

Data Visualization

  • Matplotlib
  • Seaborn
  • Plotly
  • Dash Dashboards
  • Storytelling with Data
15

Career Preparation & Placement

  • Resume Building
  • LinkedIn Optimization
  • Mock Interviews
  • Portfolio Projects
  • Placement Assistance
CAREER OPPORTUNITIES

Top 10 Career Roles Where This
Certification Adds Value

01

Data Scientist

02

Data Analyst

03

ML Analyst

04

AI Analyst

05

Research Analyst

06

Decision Scientist

07

Analytics Consultant

08

BI Analyst

09

Quantitative Analyst

10

Data Engineer

INDUSTRY RECOGNIZED CERTIFICATION

A Certification
Data Science Recruiters Trust.

Data Science Certification

Resume Shortlisting

Industry-focused Data Science curriculum aligned with recruiter expectations to improve resume visibility.

Higher Salary Opportunities

Build practical Python, SQL, Machine Learning and Data Analytics skills demanded by top companies.

Recruiter Approved Curriculum

Learn Data Cleaning, EDA, Statistics, Power BI, Data Visualization and predictive modeling used in real projects.

Real Industry Projects

Work on real-world datasets, business case studies, dashboards and end-to-end Data Science projects.

Interview Preparation

Prepare with mock interviews, ATS resume building, LinkedIn optimization and Data Science interview questions.

Top 1% Data Science Skills

Master Python, Pandas, NumPy, SQL, Machine Learning, Power BI and advanced analytics to stand out from the competition.