Soil Science Courses

Foundations of Computer Science

Explore algorithms, computer hardware, networks, and software fundamentals. Gain essential knowledge for programming in Visual Basic, including binary systems, Boolean logic, and database concepts.

• Coursera
• 15 hours 49 minutes
• Self-Paced
• Paid Course

Packt

Foundations of Data Science and Machine Learning with Python

Master data science and machine learning fundamentals using Python libraries for analysis, visualization, and predictive modeling with hands-on projects.

• Coursera
• 8 hours 52 minutes
• 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

Packt

Foundations of Data Science and Machine Learning with Python

Master Python, data analysis, and machine learning fundamentals. Explore advanced algorithms and deep learning for NLP applications. Develop skills for implementing and optimizing ML models in NLP tasks.

• Coursera
• 18 hours 56 minutes
• Self-Paced
• Paid Course

Packt

Data Science Foundations: NumPy, Pandas & Visualization

Master Python's essential data science libraries - NumPy, Pandas, Matplotlib & Seaborn - through hands-on practice with arrays, DataFrames, and compelling visualizations.

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

Data Science Fundamentals Part 1: Unit 1

Discover data science fundamentals through Python, building real projects like an Airbnb recommender while mastering pandas, NumPy, and scikit-learn with authentic datasets.

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

Data Science Fundamentals Part 2: Unit 1

Master Python visualization libraries matplotlib and seaborn to create compelling plots, uncover data patterns, and navigate statistical pitfalls like Simpson's Paradox.

• Coursera
• 7 hours 33 minutes
• Self-Paced
• Paid Course

Corporate Finance Institute

Data Science & Machine Learning Fundamentals

Master data science fundamentals through real-world business applications, from regression and classification to feature engineering. Gain practical insights for implementing data-driven decision making in your organization.

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

EDUCBA

Data Science with Python: Analyze & Visualize

Master Python programming for data analysis, visualization, and machine learning with hands-on projects covering statistics, regression, and real-world applications.

• Coursera
• 8 hours 59 minutes
• Self-Paced
• Paid Course

Fundamentals of Data Science in Healthcare

Discover how to transform raw clinical data into analysis-ready datasets using healthcare standards like ICD-10, SNOMED CT, and FHIR while mastering data quality, preprocessing, and HIPAA compliance.

• Coursera
• 8 hours 15 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

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