Data Science Courses and Certifications

Skill Up with Python: Data Science and Machine Learning Recipes

Master Python through hands-on data science and ML projects including sentiment analysis, image recognition, web scraping, and data visualization in Jupyter Notebooks.

• Coursera
• 4 hours 51 minutes
• Self-Paced
• Paid Course

Python Data Science: NumPy

Master NumPy fundamentals for data science: create arrays, load/save data, analyze datasets, and transform arrays for effective data manipulation and insights extraction.

• Coursera
• 4 hours 25 minutes
• Self-Paced
• Paid Course

Python Data Science: pandas, Matplotlib, and Seaborn

Master pandas DataFrames, Matplotlib, and Seaborn to analyze, manipulate, and visualize data effectively in Python for comprehensive data science workflows.

• Coursera
• 10 hours 20 minutes
• Self-Paced
• Paid Course

H2O.ai

Data Science and Machine Learning H2O.ai Platforms

Master H2O.ai's comprehensive data science toolkit for automated machine learning, model deployment, and generative AI applications, featuring Driverless AI, Wave App, and Enterprise GPTe.

• Coursera
• 1 hour 12 minutes
• Self-Paced
• Paid Course

Data Science Fundamentals Part 1: Unit 3

Master relational databases, ORMs, ETL pipelines, and data validation using Pandas to build robust data management systems and uncover meaningful insights from datasets.

• Coursera
• 8 hours 3 minutes
• Self-Paced
• Paid Course

Packt

Python Programming And Libraries for Data Science

Master Python libraries like NumPy, Pandas, and Matplotlib for data science, plus object-oriented programming, file handling, and exception management through hands-on exercises.

• Coursera
• 8 hours 24 minutes
• Self-Paced
• Paid Course

Packt

Game Development, Data Science, and Machine Learning

Explore game development with Pygame, data science with NumPy/Pandas, and machine learning with Scikit-learn through hands-on projects and real-world applications.

• Coursera
• 17 hours 45 minutes
• Self-Paced
• Paid Course

Advanced Python: Data Science, Testing, and Distribution

Master data science fundamentals, exception handling, unit testing, and package distribution to complete your advanced Python programming journey.

• Coursera
• 7 hours 55 minutes
• Self-Paced
• Paid Course

Packt

Advanced Python Techniques for Data Science & AI

Unlock advanced Python techniques including decorators, generators, APIs, and data visualization with Pandas and Plotly for real-world data science and AI applications.

• Coursera
• 7 hours 11 minutes
• Self-Paced
• Paid Course

Packt

Data Science Model Deployments and Cloud Computing on GCP

Master GCP deployment of data science models using Cloud Run, App Engine, and Vertex AI with hands-on Docker containerization and serverless computing techniques.

• Coursera
• 10 hours 34 minutes
• Self-Paced
• Paid Course

Discover Data and Presentation Software

Explore spreadsheet fundamentals and Google Slides to organize data, create visualizations, and build compelling presentations with multimedia integration.

• Udacity
• 4 hours
• Self-Paced
• Paid Course

Packt

Hands-On Data Science with PyTorch & Pandas

Master data science by building interactive dashboards with Shiny, analyzing datasets using Pandas workflows, and implementing PyTorch tensor operations and image classification apps in Python.

• Coursera
• 7 hours
• Self-Paced
• Paid Course

Packt

Julia Programming for Data Science and Machine Learning

Master Julia v1.8 for data science and machine learning, covering type systems, metaprogramming, interoperability, visualization, and scientific computing with hands-on, real-world applications.

• Coursera
• 12 hours
• Self-Paced
• Paid Course

Data Science for Marketing

Learn to leverage data science for effective marketing strategies, covering analytics, data mining, modeling, visualization, and key concepts like brand value and customer lifetime value.

• Study.com
• 10 hours 32 minutes
• Self-Paced
• Paid Course

Career Certificate

Hands-on Foundations for Data Science and Machine Learning with Google Cloud Labs

Hands-on practice with BigQuery and Cloud Data Fusion for data analysis, warehousing, and machine learning on Google Cloud. Gain practical skills through virtual labs and earn a Skills Badge.

• Coursera
• 4 weeks, 5 hours a week
• Self-Paced
• Paid Course
• 4 courses