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Data Science Program

Data Science Course Python, ML & SQL Training

Kickstart your career in data science with this hands-on, industry-ready course. You'll learn everything from Python basics to machine learning and deployment, all while working on real projects using business datasets.

15K+ Students
6 Months
Certificate
Data Science Course
Python,ML & AI
Python + ML + Deploy

Kickstart Your Data Science Career

Unlock a rewarding career in data science with CODEWORK's comprehensive data science course. Whether you’re aiming for a job in data analytics, business intelligence, or machine learning, this program is tailored to help you master the most in-demand skills. Learn from industry experts, engage in hands-on learning, and build a portfolio that highlights your capabilities.

Who Can Join?

Our job-oriented data science program is perfect for:

Beginners looking to build foundational Python coding skills.
Working professionals seeking a data science bootcamp for career transition.
Business analysts eager to learn machine learning and SQL for data science
Students aiming for real world data projects and placement assistance

Why Choose CODEWORK

CODEWORK courses are taught by experienced data science professionals and delivered using a curriculum validated by industry experts. Upon completion, you will have the tools and mentorship needed to land a data science role, supported by robust placement assistance and networking opportunities.

What You'll Learn: Overview of Modules

Gain practical, end-to-end data science training, split into 8 focused modules:

1

Python for Data Science

Programming fundamentals, NumPy and Pandas tutorial with business datasets

2

Data Visualization

Creating charts with Matplotlib, Seaborn, Plotly

3

Statistics & Probability

Data analysis foundations for decision-making

4

SQL for Data Science

Advanced queries, joins, integrating Python & SQL for analytics

5

Data Cleaning and EDA

Hands-on feature engineering training with real data

6

Machine Learning Course

Essential concepts: regression, classification, clustering

7

Time Series Analysis

Forecasting and analyzing trends with business data

8

Model Deployment

Building and deploying models on GitHub

Learning Outcomes

By the end of this course, you'll be able to:

Write Python code for analyzing and cleaning data
Create graphs and dashboards to explain insights
Use statistics for real-world problem solving
Query databases with SQL
Prepare data and features for ML
Build and evaluate machine learning models
Deploy ML apps with Streamlit
Publish an end-to-end project on GitHub

Real World Data Science Projects

Work on projects relevant to business analytics and gain practical experience:

1

Dataset Analysis

Clean and analyze public datasets using Pandas

2

Sales Dashboard

Build interactive reports with top visualization tools

3

Business KPIs

Construct metrics with SQL queries

4

Price Prediction

Price Prediction: Predict outcomes using regression models

5

Customer Clustering

Segment retail data using clustering algorithms

6

Sales Forecasting

Make predictions with time-series analysis

7

Model Deployment

Release your work via Streamlit and GitHub portfolio

COURSE BENEFITS

PLACEMENT ASSISTANCE

*MIN 5 COMPANY WALK-INS

GitHub portfolio and Job-ready resume to enhance career prospects.

Course Benefits & Career Support

Everything you need to launch your frontend career

Placement Assistance

Minimum 5 company walk-ins guaranteed

Portfolio Building

Showcase job-ready projects on GitHub

Resume & LinkedIn Optimization

Guided workshops to boost your visibility

Mock Interviews

Get 1:1 interview coaching to ace your dream job

Certification

Earn a recognized certificate after course completion

100% Practical

All learning is project-based and hands-on

Enroll in CODEWORK’s Data Science Bootcamp today to start your journey towards becoming a data scientist!

1000+ students enrolled