Data Science

Overview
Curriculum
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Data Science

Master Data Science. Get Hired.

Bridge the gap between theory and industry reality. This comprehensive program equips you with the exact tools top employers look for: Python, SQL, Power BI, and Machine Learning.

Through practical, project-based learning, you will master data cleaning, predictive modeling, and executive-level reporting. Perfect for beginners and transitioning professionals looking to secure high-growth roles in Data Analytics and Data Science.

Explore Our Course Modules

Module 1: Python Programming Fundamentals

Reading and Writing Files
Working with Directories
Command Prompt & Terminal Basics
File Handling using with
Conditional Statements (if, elif, else)
For Loop & While Loop

Module 2: Python File Handling & Control Flow

Reading and Writing Files
Working with Directories
Command Prompt & Terminal Basics
File Handling using with
Conditional Statements (if, elif, else)
For Loop & While Loop

Module 3: NumPy & Data Manipulation

Introduction to NumPy
Arrays and Array Operations
Mathematical Functions
Data Manipulation
NumPy Hands-on Practice

Module 4: Data Analysis with Pandas

Introduction to Pandas
Series & DataFrames
Data Cleaning
Filtering & Sorting Data
GroupBy & Aggregation
Pandas Hands-on

Module 5: Data Visualization

Data Visualization Fundamentals
Matplotlib
Seaborn
Exploratory Data Analysis (EDA)
Visualizing Insights
Hands-on Visualization Projects

Module 6: Statistics for Data Science

Statistical Thinking
Measures of Central Tendency
Measures of Dispersion
Interquartile Range (IQR)
Statistical Analysis Hands-on

Module 7: Machine Learning Fundamentals

Introduction to Machine Learning
Supervised Learning
Unsupervised Learning
Classification vs Regression
Model Training & Fine-Tuning

Module 8: Regression Models

Linear Regression
Linear Regression Metrics
Logistic Regression
Logistic Regression Metrics
Hands-on Regression Models

Module 9: Data Preprocessing

Data Preprocessing Techniques
Exploratory Data Analysis
Handling Missing Values
Detecting Outliers
Standardization & Normalization
Feature Scaling
Feature Selection

Module 10: Tree-Based Machine Learning

Decision Trees
Classification Trees
Regression Trees
Bagging
Random Forest
Boosting Techniques

Module 11: Neural Networks

Fundamentals of Neural Networks
Deep Learning Basics
Artificial Neurons
Neural Network Architecture
Introduction to AI Models

Module 12: SQL for Data Science

Database Fundamentals
SQL Basics
SQL Clauses
SQL Joins
Querying Data

Module 13: Advanced Excel for Analytics

Excel Functions
Conditional Formatting
Pivot Tables
Dashboards
Data Analysis in Excel

Module 14: Power BI

Introduction to Power BI
Power BI Desktop
ETL Pipeline
DAX Calculations
Reports & Dashboards
AI Features in Power BI

Module 15: Capstone Project

Data Collection & Cleaning
Data Analysis
Data Visualization
Machine Learning Model Development
Dashboard Creation
Final Data Science Project Presentation

Self Paced

Learn at your own pace

^INR 6,999

Recorded Sessions
Hands-on Projects
Certifications
Doubt Clear Sessions
Live Sessions
Mentor Guidence
Placement Support
1:1 Mentoring

Mentor Led

Guided Learning with mentor support

^INR 9,999

Recorded Sessions
Hands-on Projects
Certifications
Doubt Clear Sessions
Live Sessions
Mentor Guidence
Placement Support
1:1 Mentoring

Professional

Be placement ready

^INR 14,999

Recorded Sessions
Hands-on Projects
Certifications
Doubt Clear Sessions
Live Sessions
Mentor Guidence
Placement Support
1:1 Mentoring

🏆 CAREER BOOSTER

Earn Industry-Recognized Certificates

Showcase your skills, strengthen your resume, and stand out to employers with industry-recognized certificates.

TOOLS & TECHNOLOGIES

Learn the Technologies That Matter

Explore the tools and technologies used to analyze data, create insights, build models, and solve real-world problems.

Python

NumPy

Anaconda

Jupyter

Pandas

Matplotlib

Seaborn

TensorFlow

Scikit-learn

Plotly

Excel

SQL

Power BI

Top Companies Hiring

CAREER OUTCOMES

Top Companies Hiring for These Skills

TCS

IT Services

Infosys

IT Services

Wipro

IT Services

HCLTech

IT Services

Tech Mahindra

IT Services

Cognizant

IT Services

Accenture

IT Services

Capgemini

IT Services

Google

IT Product

Microsoft

IT Product

Amazon

IT Product

TCS

IT Services

Infosys

IT Services

Wipro

IT Services

HCLTech

IT Services

Tech Mahindra

IT Services

Cognizant

IT Services

Accenture

IT Services

Capgemini

IT Services

Google

IT Product

Microsoft

IT Product

Amazon

IT Product

Swiggy

Startup

Zomato

Startup

Paytm

Fintech

PhonePe

Fintech

Razorpay

Fintech

Zerodha

Fintech

HDFC Bank

Banking & Finance

ICICI Bank

Banking & Finance

Swiggy

Startup

Zomato

Startup

Paytm

Fintech

PhonePe

Fintech

Razorpay

Fintech

Zerodha

Fintech

HDFC Bank

Banking & Finance

ICICI Bank

Banking & Finance

    
 
 
       Posted on Google  
   
   shivani verma 
 
 
 
 Trustindex verifies that the original source of the review is Google. i have taken the course for my extra learning and it helped me to crack my placement . teachers explained every topic very well .
  
 
      Posted on Google  
   
   himanshu namdev 
 
 
 
 Trustindex verifies that the original source of the review is Google. I had good experience throughout the training, specially one on one mentorship was really helpful
  
 
      Posted on Google  
   
   Vanya Singh 
 
 
 
 Trustindex verifies that the original source of the review is Google. Learning environment was encouraging and motivating. Gained not only technical knowledge but also the courage to chase bigger career goals.
  
 
      Posted on Google  
   
   Vishakha Sharma 
 
 
 
 Trustindex verifies that the original source of the review is Google. faculty is amazing
  
 
      Posted on Google  
   
   shiv pratap kanhaiya singh 
 
 
 
 Trustindex verifies that the original source of the review is Google. Amezing experience
  
 
      Posted on Google  
   
   Teena Prajapat 
 
 
 
 Trustindex verifies that the original source of the review is Google. Nice learning environment with proper workstations. Team is supportive and place is well maintained. Had a good experience at Steatic Solutions. Professional setup and clear guidance. Recommended👍.
  
 
      Posted on Google  
   
   Aarti Singh 
 
 
 
 Trustindex verifies that the original source of the review is Google. It was a good course have taken marketing one, really appreciate how well it was structured, because of which was easy to follow and helped in gaining clear understanding of what was being taught.

Curriculum

17 Sections
71 Lessons
12 Weeks

Expand all sectionsCollapse all sections

Module 1: Python Fundamentals
6 Items
Module 2: Python File Handling & Data Structures
6 Items
Module 3: Loops & Conditional Statements
3 Items
Module 4: Data Analysis with NumPy
3 Items
Module 5: Data Analysis with Pandas
3 Items
Module 6: Data Visualization
5 Items
Module 7: Statistical Thinking in Python
4 Items
Module 8: Machine Learning Fundamentals
6 Items
Module 9: Logistic Regression
3 Items
Module 10: Linear Regression
2 Items
- 10.1
  Linear Regression Fundamentals
- 10.2
  Performance Metrics
Module 11: Data Preprocessing for Machine Learning
7 Items
Module 12: Tree-Based Models
5 Items
Module 13: Fundamentals of Neural Networks
2 Items
- 13.1
  Neural Network Basics
- 13.2
  Working of Neural Networks
Module 14: Real-World Project
4 Items
Module 15: Advanced Excel
4 Items
Module 16: SQL
3 Items
Module 17: Power BI
5 Items

How do I enroll in a course?

To enroll in a course, you need to create an account on our platform, browse our course catalog, and click on the "Enroll" button next to the course you want to join. Follow the on-screen instructions to complete the registration process.

Will I receive a certificate upon completion?

Yes, most of our courses offer a certificate of completion, provided you meet all the course requirements, such as passing quizzes and submitting assignments.

Are there any exams or assessments?

Courses often include quizzes, assignments, and sometimes final exams to assess your understanding of the material. The specific assessment methods will be detailed in the course syllabus.

How do I pay for a course?

Courses can be paid for using a credit/debit card, PayPal, or other payment methods specified at checkout. Payment is required at the time of enrollment.

Course Info

Price :
₹9,999.00
Duration : 12 week
Skill Level : Beginner
Category : Technical Courses

Contact To Request

Module 1: Python Programming Fundamentals

Module 2: Python File Handling & Control Flow