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Data Science

Welcome to our comprehensive course on Data Science! In this course, we delve into the fascinating world of data analysis, machine learning, and statistical modeling. Whether you're a novice or an experienced professional looking to enhance your skills, this course offers something for everyone.

Beginner Level

Flexible Schedule

Learn at your own pace

Join us on this exciting journey into the world of Data Science and unlock endless opportunities for growth and success!

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What you'll learn

Foundations of data science

Statistical analysis

Machine learning

Data mining

Big data technologies

Real world application

Course Structure

1. Introduction to Data Science

  • Overview of data science,Basics of Python programming for data analysis,Introduction to data manipulation and visualization libraries

2. Statistical Analysis

  • Descriptive statistics, Inferential statistics,Hypothesis testing

3. Machine Learning

  • Supervised learning (classification, regression),Unsupervised learning (clustering, dimensionality reduction),Model evaluation and selection

4. Data Mining

  • Association rule mining, Clustering techniques, Text mining and sentiment analysis

5. Big Data Technologies

  • Introduction to big data concepts, Working with distributed computing frameworks

6. Real-World Application

  • Case studies and projects across various domains,Industry- specific challenges and solutions

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