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Data Science Workshop

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Transforming Education into Careers

Kickstart Your Journey with Edspark Workshops

Learn from experts, gain hands-on experience, and build skills that open real career opportunities.

Edspark Workshops are designed to make you job-ready through practical learning, live mentorship, and industry certification. Whether you’re a student or a professional, our career-focused skill programs help you grow faster and smarter in today’s evolving industries.

Be part of Skill India Partner Courses and gain skills that truly make a difference. Learn. Grow. Excel with Edspark.

Lifetime Access to Updated Course Materials

Live Mentorship from Industry Experts Working in MAANG Companies

Verified Workshop & Training Completion Certificates

20+ Hours of Interactive, Instructor-Led Sessions

Hands-On Experience with Real-World Projects

Access to Internship & Certification Opportunities Post-Workshop

Key Highlights

We are proud to present the success of our Program

130+

Mentees Placed

11.5LPA

Highest CTC

80.3%

Placement Rate

50+

Hiring Partners

Edspark Services

Workshop

Real-world projects, mentor guidance, and feedback to boost employability and practical skills.

Training

Structured workshop training by experienced mentors, covering basics to advanced tactics in multiple learning modes.

Placement Assistance

Aptitude, personality development, mock interviews, LinkedIn building, and HR preparation for job success.

Accreditation Badges

We are accredited by

Officially Authorised Partner

Official Training Partner

Skill India

Official Training Partner

Previously incubated

Hiring Heroes

Get Hired by Top Brands – Backed by 50+ Hiring Partners

workshop

Our Work Shop Modules

Foundations of Data Science

Overview of Data Science.

Data Science workflow and stage.

Core elements: data gathering, cleaning, analysis, visualization, machine learning, deployment

Setting Up Your Gear

Installing Python, Jupyter Notebook, and Anaconda

Configuring essential libraries (NumPy, Pandas, Matplotlib, Seaborn)

Python Basics for Data Science

Introduction to Python programming

Working with data structures and functions

Basic data manipulation and plotting

Gathering Data

Methods for collecting data

Web scraping and using APIs

Handling structured and unstructured data

Cleaning Up the Mess

Managing missing data

Data normalization and feature engineering

Removing duplicates and handling outliers

Digging Into Data

Descriptive statistics and data patterns

Visualization using Matplotlib and Seaborn

Bringing Data to Life

Creating various plots (line, bar, scatter, histogram, boxplot)

Advanced visualizations (heatmaps, pair plots)

Interactive plots using Plotly

Getting into Machine Learning

Introduction to machine learning concepts

Key models: regression, classification, clustering

Cracking Supervised Learning

Linear and logistic regression

Decision Trees and Random Forests

Tackling Unsupervised Learning

Clustering algorithms (K-Means, hierarchical)

Dimensionality reduction (PCA)

Applications of unsupervised learning

Deep Learning 101

Introduction to neural networks

Basics of TensorFlow and Keras

Designing and training a neural network

Final Project

Completing a comprehensive data science project

End-to-end project workflow: problem definition, data collection, analysis, modeling, and deployment

Boost Your Career with IBM’s Global Certification

Why Should You Get Certified?

Earn an official IBM digital certificate accepted worldwide
Gain strong credibility with top companies & recruiters
Improve your chances of landing high-value tech roles
Strengthen your portfolio for web development careers
Showcase your dedication to upskilling & continuous learning

How to Get Certified?

Attend a short online exam to qualify for the official IBM certificate.

Exam Duration:1 hour

Mode:Online

Start your journey toward becoming an industry-ready developer!

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