Soil Science Courses

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

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

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

Packt

Survey of Data Science

Discover foundational data science concepts, from exploratory analysis to neural networks, building skills in data cleaning, visualization, and machine learning techniques.

• Coursera
• 12 hours 12 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 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

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 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

Data Science Fundamentals Part 2: Unit 2

Master statistical inference through hypothesis testing, confidence intervals, and A/B testing while learning to distinguish correlation from causation for robust data analysis.

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

Data Science Fundamentals Part 2: Unit 3

Master statistical modeling and machine learning with Python using real Airbnb data, covering probability, regression, model evaluation, and Scikit-learn implementation.

• Coursera
• 9 hours 16 minutes
• Self-Paced
• Paid Course

Data Science I: Essential Tools (Live Online)

Gain insights into Python data science essentials, from basic programming to advanced Pandas techniques, NumPy operations, and data visualization using Matplotlib and Seaborn.

• CourseHorse
• 16 hours
• Self-Paced
• $2,385.00

Praxis 5652 Study Guide - Computer Science Exam Prep

Master computer science concepts and test-taking strategies to excel on the Praxis 5652 certification exam with comprehensive preparation materials and practice questions.

• Study.com
• Self-Paced
• Paid Course

MTTC 137 Study Guide - Science (5-9) Exam Prep

Master essential science concepts and teaching strategies to confidently pass the MTTC 137 certification exam for grades 5-9 science education.

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

Coursera

Advanced Data Science Techniques (with AWS Integration)

Master sophisticated ML models and AWS deployment through hands-on projects covering feature engineering, time series analysis, and cloud-based machine learning pipelines.

• Coursera
• 1 day 5 hours 29 minutes
• 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