What is Skill For Career?

Skill For Career is an online learning platform offering job-oriented courses in Development, Digital Marketing, Data Science, Design, Finance, and more to help you upskill and grow your career.

How can I reset my password if I forget it?

You can reset your password by clicking the "Forgot Password" link on the login page and following the instructions.

What is the period of access to the online content?

You will have access to the online content for a period of 1 year from the date of enrollment.

Is the Skill For Career course certificate industry-recognized and verifiable?

Yes, the certificates provided are industry-recognized and can be verified through a unique code provided after course completion.

How does Skill For Career support students in job placement after course completion?

Skill For Career provides job placement assistance through mock interviews, resume building, and connecting students with hiring partners.

Complete Program in Data Science

⭐⭐⭐⭐⭐

₹ 34,999.00 ₹ 60,000.00 42% OFF

6 months duration

EMI: ₹ 5,834/month for 6 months

Advanced ML

Foundation Program in Data Science

⭐⭐⭐⭐⭐

₹ 14,999.00

3 months duration

EMI: ₹ 5,000/month for 3 months

Advanced ML

Comprehensive Roadmap

The curriculum has been designed by faculty from Expert Industry Professionals and NSDC

100+
Live Sessions

12+
Tools and Software

8+
Course Module

Complete Program in Data Science

Complete Data Science Curriculum

Course Overview

Advanced data science program with deep learning, advanced ML algorithms, AI techniques, and comprehensive industry projects with placement support.

Module 1: Introduction to Data Science

Learning Objectives

Understand what data science is and its applications
Learn the data science workflow and methodology
Set up development environment and tools
Develop analytical thinking and problem-solving skills

Topics Covered

What is data science and its applications
Data science vs analytics vs business intelligence
Types of data and data sources
Data science lifecycle (CRISP-DM methodology)
Python vs R: choosing the right tool
Setting up Anaconda and Jupyter Notebooks
Introduction to Git and version control

Practical Assignment

Set up your data science environment and create your first Jupyter notebook with a simple data exploration project.

Module 2: Python Programming Fundamentals

Learning Objectives

Master Python fundamentals for data manipulation
Learn essential data science libraries
Understand programming best practices

Topics Covered

Python syntax, data types, and variables
Control structures (loops, conditionals)
Functions and modules
Error handling and debugging
NumPy for numerical computing
Pandas for data manipulation
Basic data visualization

Practical Assignment

Build a complete data analysis project using Python libraries to clean, analyze, and visualize a real dataset.

Want to see the complete roadmap?

Get access to all modules, advanced topics, and detailed learning path

Module 1: Introduction to Data Science

Learning Objectives

Understand what data science is and its applications
Learn the data science workflow and methodology
Set up development environment and tools
Develop analytical thinking and problem-solving skills

Topics Covered

What is data science and its applications
Data science vs analytics vs business intelligence
Types of data and data sources
Data science lifecycle (CRISP-DM methodology)
Python vs R: choosing the right tool
Setting up Anaconda and Jupyter Notebooks
Introduction to Git and version control

Practical Assignment

Set up your data science environment and create your first Jupyter notebook with a simple data exploration project.

Module 2: Python Programming Fundamentals

Learning Objectives

Master Python fundamentals for data manipulation
Learn essential data science libraries
Understand programming best practices

Topics Covered

Python syntax, data types, and variables
Control structures (loops, conditionals)
Functions and modules
Error handling and debugging
NumPy for numerical computing
Pandas for data manipulation
Basic data visualization

Practical Assignment

Build a complete data analysis project using Python libraries to clean, analyze, and visualize a real dataset.

Module 3: Machine Learning Fundamentals

Learning Objectives

Understand machine learning concepts
Learn supervised learning algorithms
Master model evaluation techniques

Topics Covered

Types of machine learning
Linear and logistic regression
Decision trees and random forests
Model training and evaluation
Scikit-learn library basics
Cross-validation techniques

Practical Assignment

Build and evaluate multiple machine learning models on a real dataset and compare their performance.

Module 4: Data Visualization and Communication

Learning Objectives

Create compelling data visualizations
Learn to communicate insights effectively
Build interactive dashboards

Topics Covered

Advanced matplotlib and seaborn
Interactive visualizations with Plotly
Dashboard creation
Statistical storytelling
Data presentation techniques
Business impact communication

Practical Assignment

Create a comprehensive data science project with visualizations and present findings to stakeholders.

Placement Statistics

Placement is never been so easy until Skill For Career started providing best course training.

Data Science

Complete Program in Data Science

Secure your spot now!

Course Duration (6 months)

Course Price

EMI Option

About Course

Next Batch Start On

25+

3 Months

6 months

20+

Courses In Data Science

Complete Program in Data Science

Foundation Program in Data Science

Comprehensive Roadmap

100+Live Sessions

12+Tools and Software

8+ Course Module

Complete Program in Data Science

Complete Data Science Curriculum

Course Overview

Module 1: Introduction to Data Science

Learning Objectives

Topics Covered

Practical Assignment

Module 2: Python Programming Fundamentals

Learning Objectives

Topics Covered

Practical Assignment

Want to see the complete roadmap?

Module 1: Introduction to Data Science

Learning Objectives

Topics Covered

Practical Assignment

Module 2: Python Programming Fundamentals

Learning Objectives

Topics Covered

Practical Assignment

Module 3: Machine Learning Fundamentals

Learning Objectives

Topics Covered

Practical Assignment

Module 4: Data Visualization and Communication

Learning Objectives

Topics Covered

Practical Assignment

Access Complete Roadmap

Success!

Placement Statistics

20+Career Options

1000+Placement Done

6-25 LPAAverage Salary

Languages and Tools Covered

Transform your career with professional certification program in data science and prepare for certification from Skill For Career education

Our Certificate

Showcase your Course Completion Certificate to Recruiters

Data Science Course

🚀 Financial Success

Salary Hike Distribution

Average Salary Hike

🚀 Job Market Data

Global Companies

🚀 Career Paths

Top Career Options

Industry Diversity

🚀 Batch Profiles

Success Metrics

✨ Got more questions?

Talk to our team directly.

✨ Application Process

✨ Upcoming Application Deadline

Get in Touch

Ami

Welcome to Ami! 👋

100+
Live Sessions

12+
Tools and Software

8+
Course Module

20+
Career Options

1000+
Placement Done

6-25 LPA
Average Salary