Data Science

Learn how to analyze, interpret, and transform data into meaningful insights using industry-standard tools and techniques. Build strong foundations in Python, statistics, data visualization, and machine learning while working on real-world datasets. Gain hands-on experience to create data-driven solutions and develop a professional portfolio that opens doors to high-demand roles in analytics, AI, and data science.

₹90,000/Complete Course
Join Course

This Course Include

  • Beginning to End
  • Duration 15 hours
  • Last Updated January 15, 2026

Have Any Question?

Reach out to our support team for quick assistance and expert guidance.

Data science training course

Curriculum

Step by Step
Introduction to Data Science

This module introduces data science concepts, workflows, and real-world applications. Learners understand how data is collected, analyzed, and transformed into insights that drive informed business decisions.

Data Analysis & Python Fundamentals

Learn Python basics, data types, and libraries like NumPy and Pandas. Understand data analysis workflows, data cleaning, and exploratory techniques used by data scientists in real projects.

Data Visualization & Exploratory Analysis

Learn data visualization techniques using charts and dashboards. Understand exploratory data analysis methods to identify trends, patterns, and insights that support data-driven decision making.

Statistics & Probability for Data Science

Understand statistical concepts, probability, and distributions. Learn hypothesis testing, correlation, and statistical measures essential for analyzing data and building reliable, accurate data-driven models.

Machine Learning Fundamentals

Learn machine learning concepts, algorithms, and model training basics. Understand supervised and unsupervised learning, model evaluation, and how machines learn patterns from structured data.

Real-World Projects & Data Science Workflow

Work on real-world data science projects to apply learned concepts. Learn end-to-end workflows including problem definition, data preparation, modeling, evaluation, and presenting actionable insights effectively.

Unlock the power of data with our comprehensive Data Science course designed for beginners and aspiring data professionals. Dive into the complete data journey – from collecting and cleaning data to analyzing it and generating actionable insights that drive real-world decisions.

Through hands-on projects and practical exercises, you’ll learn to work with Python, R, SQL, and advanced analytics tools, mastering data visualization, predictive modeling, and machine learning techniques. This course doesn’t just teach theory – it equips you with the skills to solve real business problems and build a portfolio that showcases your expertise.

By the end of the course, you’ll understand the full Data Science workflow, be confident in applying analytical methods, and be ready to pursue rewarding career opportunities in industries ranging from tech and finance to healthcare and marketing.

What Will You Learn?

  • Master the Data Science workflow from data collection to actionable insights.
  • Build a professional portfolio showcasing real-world projects.
  • Learn to analyze data using Python, R, and SQL with hands-on exercises.
  • Perform data visualization and storytelling to communicate insights effectively.
  • Apply machine learning algorithms to solve real business problems.
  • Work with large datasets and understand data cleaning, transformation, and preprocessing.
  • Create predictive models and evaluate their performance.
  • Access downloadable datasets and exercise files for practice.
  • Develop end-to-end data science projects, from exploration to presentation.
  • Gain confidence to collaborate with teams and discuss data-driven solutions like a professional.
  • Prepare for careers in analytics, business intelligence, and data science across industries.

Requirements

  • A computer with Python, R, or any data analysis software installed (free versions available).
  • No prior programming or data science experience is required – perfect for beginners!
  • Basic familiarity with computers and spreadsheets is helpful but not mandatory.
  • A curious mindset and willingness to explore data and solve real-world problems.
Prachi Shukla Tripathi

Prachi Shukla Tripathi

Marketing & Growth Strategist