Course Overview
Courses Overview
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About Course
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COURSE SYLLABUS
- Introduction to Data Science with Python
- Python Basics: Basic Syntax, Data Structures
- Data objects, Math, Comparison Operators, Condition Statements, loops, lists, tuples, dicts, functions
- Numpy Package
- Pandas Package
- Python Advanced: Data Munging with Pandas
- Python Advanced: Visualization with Matplotlib
- Exploratory Data Analysis: Data Cleaning, Data Wrangling
- Exploratory Data Analysis: Case Study
- Introduction to Statistics
- Harnessing Data
- Exploratory Analysis
- Distributions
- Hypothesis & Computational Techniques
- Correlation & Regression
- Install SQL packages and Connecting to DB
- RDBMS (Relational Database Management) Basics
- Basics of SQL DB, Primary Key, Foreign Key
- SELECT SQL command, WHERE Condition
- Retrieving data with SELECT SQL command and WHERE Condition to Pandas DataFrame.
- SQL JOINs
- Left Join, Right Joins, multiple joins
- Machine Learning Introduction
- What is ML? ML vs AI. ML Workflow, Statistical Modelling of ML. Application of ML
- Machine Learning Algorithms
- Popular ML Algorithms, Clustering, Classification and Regression, Supervised vs Unsupervised
Course Content
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