Data Science & Analytics | Course Details

01

Introduction to Data Science

3 lessons

▾

Introduction to Data Science – Fundamentals

Introduction to Data Science – Key Concepts

Introduction to Data Science – Hands-on Practice

02

Data Science Lifecycle

3 lessons

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Data Science Lifecycle – Fundamentals

Data Science Lifecycle – Key Concepts

Data Science Lifecycle – Hands-on Practice

03

Python for Data Science

4 lessons

▾

Python for Data Science – Fundamentals

Python for Data Science – Key Concepts

Python for Data Science – Hands-on Practice

Python for Data Science – Quiz & Review

04

Statistics & Probability

3 lessons

▾

Statistics & Probability – Fundamentals

Statistics & Probability – Key Concepts

Statistics & Probability – Hands-on Practice

05

Linear Algebra Basics

3 lessons

▾

Linear Algebra Basics – Fundamentals

Linear Algebra Basics – Key Concepts

Linear Algebra Basics – Hands-on Practice

06

Data Collection & Cleaning

4 lessons

▾

Data Collection & Cleaning – Fundamentals

Data Collection & Cleaning – Key Concepts

Data Collection & Cleaning – Hands-on Practice

Data Collection & Cleaning – Quiz & Review

07

Exploratory Data Analysis

3 lessons

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Exploratory Data Analysis – Fundamentals

Exploratory Data Analysis – Key Concepts

Exploratory Data Analysis – Hands-on Practice

08

Data Visualization

3 lessons

▾

Data Visualization – Fundamentals

Data Visualization – Key Concepts

Data Visualization – Hands-on Practice

09

Feature Engineering

4 lessons

▾

Feature Engineering – Fundamentals

Feature Engineering – Key Concepts

Feature Engineering – Hands-on Practice

Feature Engineering – Quiz & Review

10

Introduction to Machine Learning

3 lessons

▾

Introduction to Machine Learning – Fundamentals

Introduction to Machine Learning – Key Concepts

Introduction to Machine Learning – Hands-on Practice

11

Supervised Learning

3 lessons

▾

Supervised Learning – Fundamentals

Supervised Learning – Key Concepts

Supervised Learning – Hands-on Practice

12

Unsupervised Learning

4 lessons

▾

Unsupervised Learning – Fundamentals

Unsupervised Learning – Key Concepts

Unsupervised Learning – Hands-on Practice

Unsupervised Learning – Quiz & Review

13

Model Evaluation Metrics

3 lessons

▾

Model Evaluation Metrics – Fundamentals

Model Evaluation Metrics – Key Concepts

Model Evaluation Metrics – Hands-on Practice

14

Regression Techniques

3 lessons

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Regression Techniques – Fundamentals

Regression Techniques – Key Concepts

Regression Techniques – Hands-on Practice

15

Classification Techniques

4 lessons

▾

Classification Techniques – Fundamentals

Classification Techniques – Key Concepts

Classification Techniques – Hands-on Practice

Classification Techniques – Quiz & Review

16

Working with Real Datasets

3 lessons

▾

Working with Real Datasets – Fundamentals

Working with Real Datasets – Key Concepts

Working with Real Datasets – Hands-on Practice

17

Introduction to SQL & Databases

3 lessons

▾

Introduction to SQL & Databases – Fundamentals

Introduction to SQL & Databases – Key Concepts

Introduction to SQL & Databases – Hands-on Practice

18

Big Data Concepts

4 lessons

▾

Big Data Concepts – Fundamentals

Big Data Concepts – Key Concepts

Big Data Concepts – Hands-on Practice

Big Data Concepts – Quiz & Review

19

Data Science Tools (Jupyter, Git)

3 lessons

▾

Data Science Tools (Jupyter, Git) – Fundamentals

Data Science Tools (Jupyter, Git) – Key Concepts

Data Science Tools (Jupyter, Git) – Hands-on Practice

20

Capstone Data Science Project

3 lessons

▾

Capstone Data Science Project – Fundamentals

Capstone Data Science Project – Key Concepts

Capstone Data Science Project – Hands-on Practice

Data Science

What you'll learn

Course Curriculum

Requirements

What you'll get