Soil Science Courses

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

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

CertNexus

Address Business Issues with Data Science

Learn to initiate data science projects, formulate problems, and apply solutions in business contexts. Develop skills to determine project suitability and implement the data science process effectively.

• Coursera
• 6 hours 37 minutes
• Self-Paced
• Paid Course

EDUCBA

Business Analytics and Data Science Essentials

Master CAP certification with business analytics, data science workflows, and predictive modeling. Build skills in problem framing, feature engineering, visualization, and stakeholder communication for real-world analytics.

• Coursera
• 7 weeks, 2 hours a week
• Self-Paced
• Paid Course

Applied Data Science with SQL, R, and Python

Master SQL, R, and Python for data science—covering query optimization, statistical analysis, and advanced visualizations with ggplot2 and Matplotlib to support real-world data-driven decisions.

• Coursera
• 15 weeks, 1 hour a week
• Self-Paced
• Paid Course

Coursera

Building a Real-World Data Science Solution

Transform theoretical knowledge into practical expertise in this comprehensive project-based course designed for aspiring data professionals. Through an end-to-end project using synthetic customer support data (designed to mirror real-world scenarios) ,…

• Coursera
• 23 hours 21 minutes
• Self-Paced
• Paid Course

Calculus for Machine Learning and Data Science

Explore calculus fundamentals for machine learning, including derivatives, optimization, gradients, and Newton's method. Apply concepts using Python in hands-on exercises for practical ML skills.

• Coursera
• 1 day 2 hours 59 minutes
• Self-Paced
• Paid Course

MathWorks

Data Science Companion

Gain foundational knowledge in data science, machine learning, data processing, and cloud computing. Learn practical skills using low-code solutions and integrate multiple tools for effective problem-solving.

• Coursera
• 1 hour 52 minutes
• Self-Paced
• Paid Course

Olay

Cosmetic Formulation Science

Explore cosmetic formulation science, focusing on raw material selection, lab safety, and product development. Gain practical skills for creating effective and innovative skincare products.

• Coursera
• 1 day 8 hours 36 minutes
• Self-Paced
• Paid Course

Computer Science 310: Current Trends in Computer Science & IT

Explore current IT trends including AI, machine learning, IoT, and blockchain. Gain insights into application design, data science, and the ethical impact of emerging technologies.

• Study.com
• 11 hours 36 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

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 Foundations with No-Code Tools

Discover how to tackle data projects confidently using no-code platforms for acquisition, cleaning, visualization, and model design to solve real business problems.

• Coursera
• 3 hours 15 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

Data Science Fundamentals Part 1: Unit 2

Discover real-world data sourcing through web scraping, APIs, and databases while mastering XML/JSON parsing and ETL pipelines for effective data transformation and analysis.

• Coursera
• 9 hours 5 minutes
• Self-Paced
• Paid Course