DataCamp Courses and Career Tracks

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DataCamp Courses and Career Tracks

Data Scientist with Python

A Data Scientist combines statistical and machine learning techniques with Python programming to analyze and interpret complex data

Python | 100 Hours | 26 Courses

• Introduction to Python

• Intermediate Python for Data Science

• TV, Halftime Shows, and the Big Game

• Data Manupulation with pandas

• Python Data Science Toolbox (Part 1)

• Python Data Science Toolbox (Part 2)

• Introduction to Importing Data in Python

• Intermediate Importing Data in Python

• Cleaning Data in Python

• pandas Foundations

• Manipulating DataFrames with pandas

• Merging DataFrames with pandas

• Analyzing Police Activity with pandas

• Introduction to SQL

• Introduction to Relational Databases in SQL

• Introduction to Data Visualization with Python

• Interactive Data Visualization with Bokeh

• Statistical Thinking in Python (Part 1)

• Statistical Thinking in Python (Part 2)

• Joining Data in SQL

• Introduction to Shell for Data Science

• Supervised Learning with scikit-learn

• Machine Learning with the Experts: School Budgets

• Unsupervised Learning in Python

• Machine Learning with Tree-Based Models in Python

• Introduction to Deep Learning in Python

• Network Analysis in Python (Part 1)

• Conda Essentials

• Conda for Building & Distributing Packages

Spreadsheet Fundamentals

Join millions of people using Google Sheets and Microsoft Excel on a daily basis and learn the fundamental skills necessary to analyze data in spreadsheets! The skills you learn in these courses will empower you to join tables, summarize data, and answer your data analysis and data science questions.

• Data Visualization in Spreadsheets
• Pivot Tables with Spreadsheets
• Intermediate Spreadsheets for Data Science
• Data Analysis with Spreadsheets

Time Series with Python

This track covers the core techniques necessary to manipulate, interpret, and extract insights from time series data. By the end of this track, you'll know how to predict time series data using statistical and machine learning models.

• Introduction to Time Series Analysis in Python

Tracks

• AWS Cloud Practitioner (CLF-C02)
  • Understanding Cloud Computing
  • Introduction to AWS
  • AWS Cloud Technology and Services
  • AWS Security and Cost Management

Courses

• Reinforcement Learning with Gymnasium in Python
• CI/CD for Machine Learning
• Intro to Financial Concepts using Python
• Loan Amortization in Spreadsheets
• Intermediate Python for Finance
• Object-Oriented Programming in Python
• GitHub Concepts

Introductory Topics

• Introduction to Redshift
• Introduction to NoSQL
• Introduction to GCP
• Introduction to Testing in Python
• Introduction to Linear Modeling in Python
• Introduction to Airflow in Python
• Introduction to NumPy
• Introduction to Git for Data Science
• Introduction to version control with Git