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Data Science

Our Data Science course is designed to transform complete beginners into job-ready professionals. With live training, real-time projects, and mentorship, learners not only grasp theoretical concepts but also apply them in real-world scenarios. Top performers from the training are directly moved into internship roles to work on client-based or capstone projects.
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Program Benefits

100% Live Interactive Classes

1:1 Doubt-Clearing Support from mentors

Session Recordings for anytime learning

Strong Conceptual Learning with practical use cases

Weekly Assignments & Mini Projects

LinkedIn & ATS-Friendly Resume Optimization

Mock Interviews & Placement Guidance

100% Placement Assistance Guaranteed

Course Curriculum (Beginner to Advanced)

Program Highlights

  • 350+ Practice Problems
  • 10+ Real-Time Projects & Case Studies
  • 1:1 Personalized Mentorship
  • 8-Week Training + Optional Internship
  • Pre-enrollment Career Consultation
  • Placement Prep with Interview Simulations
Build Real-World Projects to Become Industry-Ready. Our carefully designed capstone projects provide comprehensive domain knowledge, equipping you with well-rounded skills for the industry.
Download Curriculum
Module 0 Introduction to Data Science & Tools
  • Introduction to the Data Science lifecycle
  • Git, GitHub, Google Colab, Jupyter Notebooks
  • Data types, loops, functions, OOP
  • Numpy, Pandas, Matplotlib, Seaborn
  • Descriptive & inferential statistics
  • Histograms, heatmaps, pair plots
  • Handling missing data, outliers, feature encoding
  • Sklearn preprocessing
  • Real-world dataset analysis
  • Summary reports using Pandas Profiling
  • Linear Regression, Decision Trees, KNN, Clustering
  • Model evaluation and improvement
  • Joins, group by, subqueries, CTEs
  • Use cases in analytics
  • Real-time problem-solving on industry datasets
  • Mentor-guided internship with weekly reviews
Module 0 Introduction to Data Science & Tools
  • Introduction to the Data Science lifecycle
  • Git, GitHub, Google Colab, Jupyter Notebooks
  • Data types, loops, functions, OOP
  • Numpy, Pandas, Matplotlib, Seaborn
  • Descriptive & inferential statistics
  • Histograms, heatmaps, pair plots
  • Handling missing data, outliers, feature encoding
  • Sklearn preprocessing
  • Real-world dataset analysis
  • Summary reports using Pandas Profiling
  • Linear Regression, Decision Trees, KNN, Clustering
  • Model evaluation and improvement
  • Joins, group by, subqueries, CTEs
  • Use cases in analytics
  • Real-time problem-solving on industry datasets
  • Mentor-guided internship with weekly reviews

Build Real-Time Projects to be Industry-Ready

Netflix – Content Recommendation
System

Build a scalable movie recommendation engine using PySpark and collaborative filtering to suggest personalized content based on user viewing history and ratings.

Concepts Covered

  • PySpark
  • Collaborative Filtering
  • Data Visualization

Swiggy – Delivery Time
Prediction

Predict food delivery times by analyzing order details, location, traffic, and weather data using regression models.

Concepts Covered

  • Regression Models
  • Feature Engineering
  • Data Visualization

Zomato – Customer Sentiment
Analysis

Perform sentiment analysis on user reviews with NLP techniques to classify feedback as positive, neutral, or negative.

Concepts Covered

  • Natural Language Processing
  • Sentiment Analysis
  • Text Preprocessing

Sparroom – Roommate Matching with Clustering

Cluster users based on lifestyle, budget, and location preferences using K-Means to recommend compatible roommates

Concepts Covered

  • K-Means Clustering
  • Feature Scaling
  • Data Visualization

Industry Recognised Certificates

Talk to our Advisor

  • Personalized Career Roadmap
  • Free Career Counselling
  • Free Access to Neo Skillz Events
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Testimonials

Hema Sundar

“This internship has boosted my practical knowledge in R and Python within just 3 weeks. The daily sessions, quizzes, and assignments make learning truly effective. A fantastic experience so far!”

Hema Sundar

Data Science Intern

Jordan manoj

I recently started my Data Science training at NeoSkillz, and so far, it has been a great experience. In just the first two weeks, we completed the R programming module, which was taught in a very structured and clear manner. The faculty ensures that every student thoroughly understands the concepts before moving forward.

Jordan manoj

Data Science

Shwetha Francis

Training at NeoSkillz helped me build a strong foundation in Data Science. I learned practical skills in data analysis, visualization, and real-world problem-solving with continuous support from the team. This training truly boosted my skills. Grateful for the amazing mentors and a supportive team that made Data Science fun and meaningful!

Shwetha Francis

Data Science

Get placed in leading MNCs

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FAQ'S

Who can join NeoSkillz courses?

Anyone! Whether you’re a student, professional, or career-switcher, our courses are designed for all backgrounds. No prior experience? No problem!

Yes! Our top performers receive guidance, mock interviews, and access to internship opportunities to kickstart their careers.
No worries! All live sessions are recorded. You can watch them anytime, rewind, and revise at your convenience.
We frequently run early-bird discounts, referral bonuses, and special scholarships. Keep an eye on our announcements!
Industry experts with years of experience who not only teach but also mentor you to succeed in your career.