Soil Science Courses

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
• 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

Packt

Python Programming and Data Science Foundations for AI

Master Python programming and data science fundamentals through hands-on projects, from basic syntax to machine learning concepts, preparing you for AI application development.

• Coursera
• 1 day 5 hours 50 minutes
• Self-Paced
• Paid Course

LearnKartS

Python for Data Science with AI

Master Python for Data Science using Google Colab, covering Pandas, Matplotlib, and Seaborn through hands-on case studies to analyze, clean, and visualize real-world data.

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

EDUCBA

Statistics for Data Science with Python

Master statistical analysis and predictive modeling using Python, Pandas, and NumPy through hands-on exercises covering descriptive stats, hypothesis testing, and regression techniques.

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

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

Packt

Principles of Data Science

Master the full data science lifecycle, from data preparation to advanced ML techniques, while exploring ethical AI considerations and hands-on case studies for real-world decision-making.

• Coursera
• 1 day 7 hours 23 minutes
• Self-Paced
• Paid Course

Packt

Data Science with Python

Master essential Python libraries—NumPy, Pandas, Matplotlib, Plotly, and PyTorch—to manipulate data, create visualizations, process images, and build machine learning models for real-world data science projects.

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

Foundations of Data Science and Statistical Methods

Explore the foundations of data science, covering statistical methods, data collection, EDA, and mathematical concepts—ideal for beginners with no prior experience required.

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

Credential

Python Data Science

Comprehensive Python-based data science program covering analysis, visualization, and machine learning. Hands-on projects with real datasets prepare learners for careers in this high-demand field.

• edX
• 25 weeks, 3-5 hours/week
• Self-Paced
• $574.00
• 5 courses

Credential

The Smithsonian Science Education Center’s The Science of Teaching Science

Explore effective science teaching strategies through animated workshops, covering scientific practices, metacognition, energy concepts, and conceptual change to enhance K-12 science education.

• edX
• 4 weeks, 4-5 hours/week
• Self-Paced
• $236.00
• 4 courses

Credential

Data Science Fundamentals with Python and SQL

Comprehensive introduction to data science essentials, covering Python, SQL, statistics, and tools. Hands-on practice with real datasets prepares learners for advanced projects and career opportunities.

• Coursera
• 30 weeks, 3 hours a week
• Self-Paced
• Paid Course
• 3 courses

Credential

Data Science Foundations

Gain essential skills in data science and machine learning, covering tools, methodologies, Python, SQL, and data analysis. No prior experience needed for this career-launching program.

• edX
• 24 weeks, 2-6 hours/week
• Self-Paced
• $396.00
• 3 courses

Credential

Applied Data Science with R

Hands-on program teaching R for data analysis, visualization, and modeling. Covers SQL, ggplot2, Shiny, and more. Culminates in a real-world capstone project to showcase acquired skills.

• edX
• 25 weeks, 1-2 hours/week
• Self-Paced
• $495.00