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The courses are Conducted In Offline *
What You'll Learn
01
Introduction to Data Science
Understand what data science is and its real-world applications
03
Data Collection and Cleaning
Learn techniques to collect, clean, and prepare data for analysis.
05
Introduction to Machine Learning
Explore basic concepts of supervised and unsupervised learning
07
Mini Project
Analyze a dataset and present insights using tools and techniques learned
02
Data Science Tools
Get familiar with tools like Python, Jupyter Notebook, and basic libraries
04
Exploratory Data Analysis (EDA)
Visualize and interpret data using graphs and statistical summaries.
06
Working with Models
Train and evaluate simple models using Python libraries like scikit-learn
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