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
Kickstart Your Career with Data Skills
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
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.
- Microsoft Excel-Understanding the platform
- Formulas & Functions in Excel
- Pivot tables
- Dashboards and Insights writing
- Data analysis using Excel
- Macros
- Power pivot
- 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
- 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
- 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
- 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
- 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
- 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
Land Your Dream Data Job
Take advantage of our job-ready course subscriptions to fill skill gaps and master the top data analytics skills
Features
- 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
- 5 Months
- 6
- 3
- 1
- Yes
- Yes
- Yes
- Yes
- Yes
- Yes
- Yes
- No
- Yes
- Yes
-
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
Career Assurance
Program
- 5 Months
- 6
- 3
- 1
- Yes
- Yes
- Yes
- Yes
- Yes
- Yes
- Yes
- Yes
- Yes
- Yes
-
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
Interview Guarantee
Program
- 5 Months
- 6
- 3
- 1
- Yes
- Yes
- Yes
- Yes
- Yes
- Yes
- Yes
- No
- No
- Yes
-
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
Features
- 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
- 7 Months
- 6
- 3
- 1
- Yes
- Yes
- Yes
- Yes
- Yes
- Yes
- Yes
- No
- Yes
- Yes
-
Course Duration
7 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
Career Assurance
Program
- 7 Months
- 6
- 3
- 1
- Yes
- Yes
- Yes
- Yes
- Yes
- Yes
- Yes
- Yes
- Yes
- Yes
-
Course Duration
7 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
Interview Guarantee
Program
- 7 Months
- 6
- 3
- 1
- Yes
- Yes
- Yes
- Yes
- Yes
- Yes
- Yes
- No
- No
- Yes
-
Course Duration
7 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
Book A Free Consultation
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
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 9 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!
Salary Range
Placement Success
Hiring Partners
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?
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
Ask-me-anything Forum
AI-assisted Interview Prep
Soft Skills Training
Ongoing Career Support
Flexible EMI Plans
Other Job-ready Courses You Might Like
'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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Stories from our graduates, mentors, career gurus, and the latest news from MicroCollege on new upskilling programs and much more!
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Your Questions, Answered.
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.
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.
The cost of data analytics courses can vary. Our program provides a competitive fee structure, with options for installment payments. We also offer financial aids for eligible students.
Offline courses offer in-person interaction and networking, while online courses provide flexibility and are often self-paced.
Yes, courses with placement support offer structured career guidance, increasing job prospects upon completion.
High. Many companies seek data-literate professionals with skills in data analysis, visualization, and insights without coding expertise.
Absolutely. Beginner courses cover foundational skills, making them an excellent starting point for a career in data.
KGISL Micro College offers industry-aligned, hands-on Data Analytics courses led by experienced mentors, preparing students for real-world roles.
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