Data Science Certification Course

A holistic data science program covering the entire data lifecycle, from collection, cleansing, EDA, feature engineering, ML/DL to deployment using Python, R, Spark & more.

Modules

  • Web Scraping & APIs
  • Missing Value Strategies
  • Normalization & Sampling

  • Univariate & Multivariate Analysis
  • Correlation & Visualization
  • Outlier Handling

  • Encoding & Scaling
  • Polynomial & Interaction Features
  • Feature Selection

  • Hypothesis Testing
  • Regression Techniques
  • ANOVA & Minitab Demo

  • Decision Trees
  • Ensemble Methods
  • SVMs & Naive Bayes

  • Clustering
  • PCA & Dimensionality Reduction
  • Time Series Analysis

  • ANN/CNN/RNN
  • Word Embeddings
  • Text Classification

  • Hadoop Ecosystem
  • Spark MLlib
  • PySpark Projects

  • Tableau, Power BI
  • Storytelling with Dashboards

  • Model Serving (Flask/Streamlit)
  • Docker/AWS Deployment
  • End-to-End Project
Learning Illustration

Industry Insights

95%

Industry Relevance

Very High

Market Demand

12 LPA+

Avg. Salary

Ready to start learning?

Your Learning Roadmap

Follow this path to mastery. Our AI guide leads the way.

⏱ Total Estimated Time: 180 hrs8 milestones

Data Collection & Cleaning

16 hrs

Data acquisition, web scraping, and preprocessing

EDA & Feature Engineering

20 hrs

Exploratory data analysis, feature creation

Statistics & ML

28 hrs

Regression, classification, and model evaluation

Unsupervised ML & Time Series

24 hrs

Clustering, PCA, forecasting

Deep Learning & NLP

30 hrs

Neural networks and text processing

Big Data & Spark

24 hrs

PySpark, Hadoop ecosystem, and big data tools

Visualization & BI Tools

16 hrs

Tableau, Power BI, and dashboards

Deployment & Capstone

22 hrs

Flask, Streamlit, AWS, and Docker

Why choose this Data Science Certification?

  • Master the full data lifecycle, from acquisition to deployment as seen in MNCs like Accenture, VMware, Infosys.
  • Attain expertise in statistics, ML, NLP, and Data Engineering tools used in real-world applications.
  • Obtain a recognized IIT/Pravartak-certified credential and access robust placement support.
  • Gain hands-on experience with live datasets and case studies across domains.
  • Fast-track your career into high-growth roles with data-driven organizations.