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Introduction to Data Science
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Course Introduction
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Why you should do data science?
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Real World Case Studies
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What is Data Science?
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The lifecycle of Data Science
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Sample case study for data Science
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Who is data Scientist?
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The Data Scientist’s Toolbox
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Data Science and Relation with Other Technologies
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Data Scientists vs. Data Analysts vs. Data Engineers
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"What’s the difference between data science, artificial intelligence, and machine learning"
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Big data and data Science
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Data science and cloud computing
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Data Science and Business Analytics
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Data Science Environment and Tools
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Data Science Working Environment
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Languages for Data Science
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Data Science Tools (Open Source and Commercial )
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Data Science Environment Setup
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Data Science Environment Setup
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Installing Anaconda
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Data Science Environment in Anaconda
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Practice on Jupyter Notebook
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Need of Version Control System
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Overview of Version Control System
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Types of Version Control System
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Code Asset Management using Github
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Practice on Github
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Data Sources
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Understanding Problem Statement
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The Problem-Part 1
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The Problem-Part 2
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Data Science Problem Formulation-1
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Data Science Problem Formulation-2
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Understanding Data
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Data Assistment
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Data Exploration
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Data Exploration Practical-1
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Data Exploration Practical-2
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Export Notebook in HTML Format
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Statistics for Data Science
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Basics of Statistics
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Data in Statistics
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Quantitative and Qualitative Data
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Terminologies in Statistics
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Terminologies in Statistics-2
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Terminologies in Statistics-3
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Practical Example
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Non-Probability sampling techniques
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Types of Statistics
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Python Libraries for Statistics
Preview - The Data Science Course 2022: Data Science with Python
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