Python for Data Science & Machine Learning

The course covers 5 main areas:

1: PYTHON FOR DS+ML COURSE INTRO

This intro section gives you a full introduction to the Python for Data Science and Machine Learning course, data science industry, and marketplace, job opportunities and salaries, and the various data science job roles.

• Intro to Data Science + Machine Learning with Python

• Data Science Industry and Marketplace

• Data Science Job Opportunities

• How To Get a Data Science Job

• Machine Learning Concepts & Algorithms

2: PYTHON DATA ANALYSIS/VISUALIZATION

This section gives you a full introduction to the Data Analysis and Data Visualization with Python with hands-on step by step training.

• Python Crash Course

• NumPy Data Analysis

• Pandas Data Analysis

• Matplotlib

• Seaborn

• Plotly

3: MATHEMATICS FOR DATA SCIENCE

This section gives you a full introduction to the mathematics for data science such as statistics and probability.

• Descriptive Statistics

• Measure of Variability

• Inferential Statistics

• Probability

• Hypothesis Testing

4: MACHINE LEARNING

This section gives you a full introduction to Machine Learning including Supervised & Unsupervised ML with hands-on step-by-step training.

• Intro to Machine Learning

• Data Preprocessing

• Linear Regression

• Logistic Regression

• K-Nearest Neighbors

• Decision Trees

• Ensemble Learning

• Support Vector Machines

• K-Means Clustering

• PCA

5: STARTING A DATA SCIENCE CAREER

This section gives you a full introduction to starting a career as a Data Scientist with hands-on step by step training.

• Creating a Resume

• Creating a Cover Letter

• Personal Branding

• Freelancing + Freelance websites

• Importance of Having a Website

• Networking

By the end of the course you’ll be a professional Data Scientist with Python and confidently apply for jobs and feel good knowing that you have the skills and knowledge to back it up.