Data Science Courses and Certifications

Ball State University

Statistical Methods for Data Science

Master statistical methods and probability theory for data science through hands-on applications in R, covering distributions, inference, multivariate analysis, and real-world problem-solving techniques.

• Coursera
• 1 day 15 hours 59 minutes
• On-Demand
• Paid Course

Victoria University of Wellington;  University of Victoria

Music Retrieval Systems

Explore music information retrieval tasks, from recommendation systems to audio fingerprinting, using digital signal processing and machine learning concepts for advanced audio analysis.

• Kadenze
• 50 hours
• On-Demand
• $900.00

Coursera

Snowflake for Data Science: Intro to Snowpark ML for Python

Learn to build end-to-end machine learning workflows using Snowpark ML for Python. Master data preprocessing, model training, and deployment in Snowflake's data cloud environment.

• Coursera
• 2 hours 40 minutes
• On-Demand
• Paid Course

Packt

Python Fundamentals and Data Science Essentials

Master Python fundamentals and essential data science skills. Learn data analysis with NumPy and Pandas, explore machine learning concepts, and apply knowledge through practical case studies.

• Coursera
• 16 hours 24 minutes
• On-Demand
• Paid Course

Edureka Microcredential

PySpark for Data Science

Master PySpark's distributed computing capabilities for data processing, machine learning, and real-time analytics through hands-on projects and real-world applications in data science.

• Coursera
• 16 weeks, 5 hours a week
• On-Demand
• Paid Course

Packt Microcredential

Python - Complete Python, Django, Data Science and ML Guide

Master Python programming from basics to advanced applications including Django web development, data science with Pandas/Matplotlib, and machine learning with Scikit-learn.

• Coursera
• 8 weeks, 10 hours a week
• On-Demand
• Paid Course
• 5 courses

Packt

Foundations of ML & Python for Data Science

Gain insights into machine learning fundamentals and Python programming for data science, covering statistical techniques, key libraries like NumPy and Pandas, and practical applications across industries.

• Coursera
• 14 hours 15 minutes
• On-Demand
• Paid Course

Edureka

Use Tableau for your Data Science Workflow

Master Tableau for data science: create impactful visualizations, interactive dashboards, and leverage advanced analytics. Learn data storytelling techniques and integrate with various data sources for comprehensive insights.

• Coursera
• 3 hours 38 minutes
• On-Demand
• Paid Course

Coursera

GenAI for Data Science Teams

Explore how generative AI enhances data science workflows, from augmentation to model development, empowering teams to innovate and optimize project outcomes.

• Coursera
• 2 hours 4 minutes
• On-Demand
• Paid Course

Guided Project: Get Started with Data Science in Agriculture V2

Ideal for beginners with some knowledge of Python and statistics, in this one-hour hands-on guided project, you will learn how to use essential Python tools for statistical analysis of agricultural data and present that data on interactive maps

• edX
• 1 week
• On-Demand
• Free Online Course (Audit)

Mastering Generative AI for Data Science

This course helps you master generative AI skills to enhance data science workflows, improve data preparation, and refine machine learning models with real-world applications.

• edX
• 3 weeks, 3-5 hours a week
• On-Demand
• Free Online Course (Audit)

Data Preprocessing for Data Science

Learn essential techniques for cleaning, transforming, and preparing data for analysis and machine learning using Python, NumPy, and scikit-learn.

• edX
• 4 weeks, 5-7 hours a week
• On-Demand
• Free Online Course (Audit)

Python Data Science: Environment Setup

Discover how to set up a Python data science environment using Anaconda and Jupyter for effective business data analysis and knowledge extraction.

• Coursera
• 2 hours 25 minutes
• On-Demand
• Paid Course

Packt Microcredential

Google Colab for Data Science & AI using Python

Master Python programming and Google Colab for data science and AI through hands-on exercises, covering essential libraries like NumPy, Pandas, and Matplotlib for real-world projects.

• Coursera
• 4 weeks, 10 hours a week
• On-Demand
• Paid Course

Microcredential

R Programming for Data Science

Master R programming fundamentals for data analysis, statistical modeling, and visualization to extract valuable insights and create predictive models in 4 weeks.

• Coursera
• 4 weeks, 10 hours a week
• On-Demand
• Paid Course
• 3 courses