Data Science

10 Courses · 333 Lessons

C1 What is Data Science 24 lessons

M1 Defining Data Science 6
M2 What Do Data Scientists Do 6
M3 Big Data and Data Mining 6
M4 Deep Learning and Machine Learning 6

C10 Applied Data Science Capstone 32 lessons

M1 Data Collection 6
M2 Data Wrangling 5
M3 Exploratory Data Analysis 5
M4 Interactive Visual Analytics 5
M5 Predictive Analysis 6
M6 Final Presentation 5

C2 Tools for Data Science 30 lessons

M1 Data Science Tools Overview 6
M2 Open Source Tools 6
M3 Jupyter Notebooks and JupyterLab 6
M4 RStudio and GitHub 6
M5 Cloud Based Data Science Tools 6

C3 Data Science Methodology 25 lessons

M1 From Problem to Approach 5
M2 From Requirements to Collection 5
M3 From Understanding to Preparation 5
M4 From Modeling to Evaluation 5
M5 From Deployment to Feedback 5

C4 Python for Data Science AI and Development 32 lessons

M1 Python Basics 6
M2 Python Data Structures 7
M3 Python Programming Fundamentals 7
M4 Working with Data in Python 6
M5 APIs and Data Collection 6

C5 Python Project for Data Science 10 lessons

M1 Extracting Stock Data 5
M2 Web Scraping and Data Analysis 5

C6 Databases and SQL for Data Science 34 lessons

M1 Getting Started with SQL 6
M2 Relational Databases and Tables 5
M3 Intermediate SQL 6
M4 Accessing Databases using Python 5
M5 Working with Real World Datasets 6
M6 Advanced SQL 6

C7 Data Analysis with Python 30 lessons

M1 Importing Data Sets 6
M2 Data Wrangling 6
M3 Exploratory Data Analysis 6
M4 Model Development 6
M5 Model Evaluation and Refinement 6

C8 Data Visualization with Python 22 lessons

M1 Introduction to Data Visualization 6
M2 Basic and Specialized Visualization Tools 5
M3 Advanced Visualizations and Geospatial Data 5
M4 Creating Dashboards with Plotly and Dash 6

C9 Machine Learning with Python 36 lessons

M1 Introduction to Machine Learning 5
M2 Regression 6
M3 Classification 8
M4 Clustering 6
M5 Recommender Systems 5
M6 Final Project 6