Professional Certification in

Data Analytics & Data Science

Learn the in-demand skills you need, from non-coding essentials to SQL, Python, Power BI, Tableau, and machine learning, to launch or advance your career in data analytics or data science.

Live expert-led classes

Guaranteed Interviews

Career Assurance

Project Based Learning

Stipend & Scholarship

Online & Offline Mode

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Kickstart Your Career in Data Analytics

Reasons why data science is the right career choice for 2025

How is Artificial Intelligence Powering Data Science

Entry-Level Data Science Jobs to Start Your Career

Data Analytics Portfolio: How Important is it to have one?

KGiSL MicroCollege's Courses Are Accredited By

Your Seniors Got Placed. It’s Your Turn Now!

Our data analytics course curriculum covers everything you need to become a skilled, job-ready data analyst or data scientist, just like our alumni.

Our Frequent Hiring Partners

Our certification course is backed by 400+ hiring partners, from dynamic start-ups to trusted global brands.

See How Our Students Made It

Read Our Success Stories

Data Career In A Nutshell

With our industry-vetted curriculum, learn the tools and gain the skills for top data analysis jobs - all with an expert team and backed by career assurance.

One Course. Multiple Roles

Build a job-ready portfolio and qualify for in-demand data careers with our industry-readiness certificate.

Data Analyst

Data Scientist

Business Analyst

Machine Learning Engineer

Financial Analyst

Research Analyst

Power BI Developer

Python Developer

Data Visualization Specialist

Data Skills & Tools You’ll Learn

Advanced Excel

SQL

Statistics

Tableau

Power BI

Python

Machine learning

Jupyter

Data Analytics Course Syllabus

A beginner-friendly curriculum designed to teach you the must-have skills to get hired as a data analyst or data scientist in IT product companies.

01. Advanced Excel

Microsoft Excel-Understanding the platform
Formulas & Functions in Excel
Pivot tables
Dashboards and Insights writing
Data analysis using Excel
Macros
Power pivot

02. Advanced SQL

Introduction to Relational DB
Introduction to MySQL
Creating Databases and Tables, Inserting Data
CRUD Basics in MySQL
Data Modeling - Types of Relationships
String Functions
Aggregate Functions
Window Functions
Constraints
Joins
Views
Normalization

03. Statistics

Descriptive Statistics
Understanding Outliers and Probability Concepts
Bayes Theorem
Discrete and Continuous Probability Distributions
Normal and T Distributions
Sampling Techniques and Correlation Analysis
Central Limit Theorem and Hypothesis Testing
Statistical Decision-Making: p-value method
Statistical Testing Methods

04.Tableau

Introduction to Tableau, Understanding the Platform
Basic Charts and Visualizations
Pivoting and Transforming Data
Advanced Charts and Visualizations
Working with Time Series Data and Creating Visualizations
Performing Calculations for Different Data Types
Adding and Customizing Reference Lines and Trend Lines
Integrating Mapbox for Enhanced Mapping
Designing Interactive Dashboards
Principles of Effective Data Storytelling

05. Power BI

Overview of Business Intelligence and Power BI
Data Collection, Ingestion, and Importing
Data Preparation: Cleaning and Shaping Data
Visualizations in Power BI
Data Modeling in Power BI
DAX in Power BI
Utilizing Power BI Service and Dashboards
Collaboration and Sharing in Power BI

06. Python

Introduction to Python Programming Language
Control Flow
Data Structures
Functions
OOPs Concepts
Exception Handling
File Handling
Python - SQL Connectivity
Numpy
Pandas - Series, DataFrames
Data Cleaning – Handling Missing Values, Outliers Detection, Handling Outliers, Handling Inconsistent Data
Exploratory Data Analysis (EDA) - Uni, Bi, and Multivariate Analysis
Visualization Using Matplotlib & Seaborn

07. Machine Learning

ML Definition, Types
Linear Regression
Multiple Linear Regression
Manual & Automatic Feature Elimination
Multicollinearity, VIF
Regularization - Ridge, Lasso
Model Selection - Overfitting, Underfitting
Model Tuning
Logistic Regression
KNN Algorithm
Naïve Bayes Classifier
SVM
Decision Trees
Random Forest
Boosting
Unsupervised Learning - K-Means Clustering
Hierarchical Clustering, DBSCAN
Dimensionality Reduction Techniques - PCA
Time Series Analysis
Introduction to NLP (Natural Language Processing)
Text Data Processing
Neural Networks - Structure of Artificial Neural Networks, Feed Forward NN
Convolutional Neural Networks (CNN)
Implementation of CNN using Keras & Transfer Learning
Streamlit
Flask

Gain Essential Data Skills

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Land Your Dream Data Job

Take advantage of our job-ready Program Plans to fill skill gaps and master the top data analytics skills

Features

Program
Course Duration
Reformcement Project
Milestone Projects
Capstone Project
6 Months Coursera Access
LMS
Mock Interviews
Portfolio Optimization
1:1 Mentor Support
Aptitude Training
Soft skills Training
Career Assurance
Internship
Guaranteed Interviews

Earn & Learn
Program

Data Analytics & Data Science
5 Months
6
3
1
Yes
Yes
Yes
Yes
Yes
Yes
Yes
No
Yes
Yes

Program
Data Analytics & Data Science
Course Duration
5 Months
Reformcement Project
6
Milestone Projects
3
Capstone Project
1
6 Months Coursera Access
Yes
LMS
Yes
Mock Interviews
Yes
Portfolio Optimization
Yes
1:1 Mentor Support
Yes
Aptitude Training
Yes
Soft skills Training
Yes
Career Assurance
No
Internship
Yes
Guaranteed Interviews
Yes

Enroll Now

Career Assurance
Program

Data Analytics & Data Science
5 Months
6
3
1
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes

Program
Data Analytics & Data Science
Course Duration
5 Months
Reformcement Project
6
Milestone Projects
3
Capstone Project
1
6 Months Coursera Access
Yes
LMS
Yes
Mock Interviews
Yes
Portfolio Optimization
Yes
1:1 Mentor Support
Yes
Aptitude Training
Yes
Soft skills Training
Yes
Career Assurance
Yes
Internship
Yes
Guaranteed Interviews
Yes

Enroll Now

Interview Guarantee
Program

Data Analytics
5 Months
6
3
1
Yes
Yes
Yes
Yes
Yes
Yes
Yes
No
No
Yes

Program
Data Analytics
Course Duration
5 Months
Reformcement Project
6
Milestone Projects
3
Capstone Project
1
6 Months Coursera Access
Yes
LMS
Yes
Mock Interviews
Yes
Portfolio Optimization
Yes
1:1 Mentor Support
Yes
Aptitude Training
Yes
Soft skills Training
Yes
Career Assurance
No
Internship
No
Guaranteed Interviews
Yes

Enroll Now

Features

Program
Course Duration
Reformcement Project
Milestone Projects
Capstone Project
6 Months Coursera Access
LMS
Mock Interviews
Portfolio Optimization
1:1 Mentor Support
Aptitude Training
Soft skills Training
Career Assurance
Internship
Guaranteed Interviews

Earn & Learn
Program

Data Analytics & Data Science
6 Months
6
3
1
Yes
Yes
Yes
Yes
Yes
Yes
Yes
No
Yes
Yes

Program
Data Analytics & Data Science
Course Duration
6 Months
Reformcement Project
6
Milestone Projects
3
Capstone Project
1
6 Months Coursera Access
Yes
LMS
Yes
Mock Interviews
Yes
Portfolio Optimization
Yes
1:1 Mentor Support
Yes
Aptitude Training
Yes
Soft skills Training
Yes
Career Assurance
No
Internship
Yes
Guaranteed Interviews
Yes

Enroll Now

Career Assurance
Program

Data Analytics & Data Science
6 Months
6
3
1
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes

Program
Data Analytics & Data Science
Course Duration
6 Months
Reformcement Project
6
Milestone Projects
3
Capstone Project
1
6 Months Coursera Access
Yes
LMS
Yes
Mock Interviews
Yes
Portfolio Optimization
Yes
1:1 Mentor Support
Yes
Aptitude Training
Yes
Soft skills Training
Yes
Career Assurance
Yes
Internship
Yes
Guaranteed Interviews
Yes

Enroll Now

Interview Guarantee
Program

Data Analytics
6 Months
6
3
1
Yes
Yes
Yes
Yes
Yes
Yes
Yes
No
No
Yes

Program
Data Analytics
Course Duration
6 Months
Reformcement Project
6
Milestone Projects
3
Capstone Project
1
6 Months Coursera Access
Yes
LMS
Yes
Mock Interviews
Yes
Portfolio Optimization
Yes
1:1 Mentor Support
Yes
Aptitude Training
Yes
Soft skills Training
Yes
Career Assurance
No
Internship
No
Guaranteed Interviews
Yes

Enroll Now

Book A Free Consultation

Book Now

Get Upskilled in 4 Simple Steps

Get upskilled in four easy steps and master the skills required for a high-paying data analyst job.

Pick A Course

Data Analytics or Data Science - select the job-readiness course that aligns with your career goals.

Pre-screening

Appear for the pre-screening round with our career counselors.

EPIC Learning

Enroll in our data analytics course and master the skills the EPIC way.

Get Career-ready

Apply your skills to build a standout portfolio, practice live mock interviews and land your dream data analyst job.

Real Projects. Real Skills

Budget-Mobile-Insights-A-Detailed-Amazon-Analysis

Prasanth Madheswaran

Global Income Analysis using Tableau

Prasanth Madheswaran

Amazon Books Data Analysis and Predictive Modeling

Rosemary Raphael

Block chain based Online voting system

Johnson Paul D

Road signs Classification using Convolutional Neural Networks

Amrutha Jayakumar

Build A Job-ready Portfolio With KGiSL MicroCollege

The best way to master data analysis is by working on real data sets such as stock prices, customer feedback, and e-commerce transactions. Complete real-time data projects and a capstone project to practice and enhance your data analysis skills.

Data Cleaning & Preparation:

Leverage modernized Excel techniques to clean and preprocess telecom customer data, handling missing values and organizing critical variables to ensure data quality and readiness for analysis.

Statistical Analysis:

Utilize advanced statistical methods like correlation analysis and hypothesis testing to identify and assess the primary factors contributing to customer churn in the telecom sector.

Data Visualization & Actionable Insights:

Create dynamic, interactive Tableau dashboards to visualize churn risk, segment customers by demographics, and identify actionable trends to reduce turnover.

Technology Used

Advanced Excel , SQL , Statistics, Tableau

TELECOM CUSTOMER CHURN ANALYSIS

Data Analysis & Preprocessing:

Leverage Python to clean, analyze, and prepare heart disease data for effective model training.

Statistical Analysis:

Perform statistical assessments to identify major risk factors for heart disease and verify data integrity.

Model Development:

Build and train predictive models using algorithms such as logistic regression, decision trees, and random forests to assess heart disease risk.

Deployment:

Deploy the model through Flask or Streamlit for real-time predictions, enabling users to gain insights into heart disease risk instantly.

Technology Used

Advanced Excel , SQL , Statistics, Tableau

SUPERSTORE DASHBOARD WITH POWER BI

Hear From Our Alumni

They chose us. With Reason. Success stories to inspire yours!

2-5LPA

Salary Range

87%

Placement Success

400+

Hiring Partners

523

Active Students Studying

I have always Wanted to code and gudided projects are a very useful way to learn.

Ms.C Anukrishna santhosh

Placed as Software Engineer Trainee

I was Worried because l only have a Diplamo but the teaching method made it essy to learn.

Mr.N Sakthivel

Placed as Software Engineer Trainee

Working on my Project was the best part of Classes.Now L want to work on many more Projects and improved.

Mr.S Harish Ahmed

Placed as Software Engineer Trainee

Curious About How They Did It?

Read Our Success Stories

Why Choose This Data Analytics Course

200+ Hours of Live Sessions

180+ Hours of Project

180+ Hours of Self-Practice

25+ Aptitude Tests

EPIC Learning

Placement Drives

Adaptive LMS

Soft Skills Training

Ongoing Career Support

Flexible EMI Plans

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'Hands On' With 'Heart'

Social Gurukul’ - learning goes beyond the classroom. Our students don’t just study—they lead. Through practical projects, you’ll empower small business owners and entrepreneurs, helping them enhance their businesses while gaining invaluable skills and leadership experience. It’s more than just work; it’s about making a real impact and building a unique portfolio. The outcome? You receive invaluable hands-on experience while building a portfolio that stands out.

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Your Questions, Answered.

What will be the salary for data scientists freshers worldwide?

Freshers can expect a salary ranging around $70,000 annually, though this can vary based on location and industry. With more experience, salaries can increase significantly.

What are the advantages of a data science boot camp?

Data science boot camps are detailed programs that can quickly equip you with the necessary skills needed for a data science career. Benefits include learning real-world applications, working on hands-on projects, and receiving job placement assistance.