Skip to main content

DiplomaX Online Learning Institute

Data Science Course

About Course

The Data Science Course is a complete, practical training program designed to help beginners and professionals learn how to collect, analyze, and interpret data to solve real-world problems. Data Science is one of the most in-demand fields in technology, used by companies to make smarter decisions, build predictive systems, and improve business performance.

In this course, you will start with the fundamentals of data science, including data types, statistics, and data analysis techniques. You will then move into programming with Python, learning how to use powerful libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualization.

As you progress, you will explore machine learning concepts, where you will learn how to build predictive models that can forecast outcomes, classify data, and detect patterns. The course also introduces you to data cleaning, feature engineering, model evaluation, and real-world dataset handling.

You will gain hands-on experience working on real projects such as sales prediction, customer segmentation, recommendation systems, and data dashboards. You will also learn how to communicate insights effectively using charts, reports, and storytelling techniques.

By the end of this course, you will be able to analyze complex datasets, build machine learning models, and apply data science techniques to real-world business problems. Whether you want to become a data scientist, data analyst, or machine learning engineer, this course gives you the practical skills and confidence needed to start your career.

Show More

What Will You Learn?

  • Understand fundamentals of Data Science
  • Learn statistics and probability for data analysis
  • Master Python programming for data science
  • Work with NumPy and Pandas for data manipulation
  • Create data visualizations using Matplotlib and Seaborn
  • Clean and prepare raw datasets
  • Perform exploratory data analysis (EDA)
  • Learn machine learning basics
  • Build predictive models (regression & classification)
  • Understand clustering and unsupervised learning
  • Evaluate model accuracy and performance
  • Work with real-world datasets
  • Learn feature engineering techniques
  • Build data dashboards and reports
  • Understand data storytelling techniques
  • Use Jupyter Notebook for analysis
  • Learn basics of SQL for data handling
  • Apply AI/ML concepts in real projects
  • Build a professional data science portfolio

Course Content

Introduction

  • Introduction to Data Science
    13:48
  • What is Data Science?
    09:51

Earn a certificate

Add this certificate to your resume to demonstrate your skills & increase your chances of getting a job.

selected template

Student Ratings & Reviews

No Review Yet
No Review Yet

Want to receive push notifications for all major on-site activities?