Data Science and Analytics

Data Science Course designed to equip students and professionals with essential skills in data analytics, machine learning, and AI-driven insights. and Analytics focus on extracting valuable insights from data using statistical analysis, machine learning, and data visualization. This field enables businesses to make data-driven decisions, optimize processes, and predict future trends.

2025-2026

6 Months

( Live, Online, Interactive )

Course Highlights

Admission From

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Upon completing the course, you can explore exciting career opportunities in the design industry,

Data Science and Analytics Course Curriculum

Data Science and Analytics course training In details

  • Data Collection & Preprocessing
  • Exploratory Data Analysis (EDA)
  • Probability & Statistics for Data Science
  • Feature Engineering & Data Cleaning
  • Supervised & Unsupervised Learning
  • Regression & Classification Models
  • Clustering & Dimensionality Reduction
  • Time Series Forecasting

Skills Covered in Data Science and Analytics

  • Data Scientist
  • Data Analyst
  • Machine Learning Engineer
  • Business Intelligence Analyst
  • Big Data Engineer
  • Financial & Marketing Analyst
  • AI & Predictive Analytics Expert

Get exclusive access to career resources upon completion

Get exclusive access to career resources upon completion

motion graphic course

Is coding necessary for Data Science?

Yes, Python and SQL are essential for data manipulation and analysis.

What is the difference between Data Science and Data Analytics?

Data Science focuses on predictive modeling and AI, while Data Analytics focuses on insights from historical data.

What industries use Data Science the most?

Finance, healthcare, e-commerce, marketing, cybersecurity, and supply chain.

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