pandas Courses and Certifications

Data Collection and Integration

10 ratings at Coursera

Comprehensive techniques for gathering and integrating data from diverse sources, emphasizing practical experience with tools like Pandas, Beautiful Soup, and SQL to handle real-life datasets.

• Coursera
• 1 day 4 hours 7 minutes
• On-Demand
• Free Online Course (Audit)

Modeling Climate Anomalies with Statistical Analysis

Learn to model climate data using statistical analysis in Python, covering data visualization, predictive modeling, and regression techniques with emphasis on practical application to climate datasets.

• Coursera
• 7 hours 20 minutes
• On-Demand
• Free Online Course (Audit)

Data Analysis with Python

18528 ratings at Coursera

Learn to analyze data using Python, from importing and cleaning to exploratory analysis and building machine learning models. Gain hands-on experience with popular libraries and real-world datasets.

• Coursera
• 15 hours 23 minutes
• On-Demand
• Free Online Course (Audit)

Python for Data Science and Machine Learning Bootcamp

146825 ratings at Udemy

Learn how to use NumPy, Pandas, Seaborn , Matplotlib , Plotly , Scikit-Learn , Machine Learning, Tensorflow , and more!

• Udemy
• 1 day 54 minutes
• On-Demand
• Paid Course

DP-100: A-Z Machine Learning using Azure Machine Learning

7476 ratings at Udemy

Microsoft Azure DP-100: Designing and Implementing a Data Science Solution Exam Covered. Learn Azure Machine Learning

• Udemy
• 1 day 2 hours 39 minutes
• On-Demand
• Paid Course

Python for Machine Learning & Data Science Masterclass

16340 ratings at Udemy

Learn about Data Science and Machine Learning with Python! Including Numpy, Pandas, Matplotlib, Scikit-Learn and more!

• Udemy
• 1 day 20 hours 4 minutes
• On-Demand
• Paid Course

Machine Learning & Data Science A-Z: Hands-on Python 2024

1207 ratings at Udemy

Learn NumPy, Pandas, Matplotlib, Seaborn, Scikit-learn, Scipy and develop Machine Learning Models in Python

• Udemy
• 14 hours 28 minutes
• On-Demand
• Paid Course

Microcredential

Data Science

Gain insights from big data through mathematical and computational tools. Master Python, statistics, machine learning, and Apache Spark for data-driven decision-making and visualization.

• edX
• 40 weeks, 8-11 hours a week
• On-Demand
• $1,400.00
• 3 courses

Alex the Analyst

Data Analyst Bootcamp

6 reviews

Master SQL, Excel, Tableau, Power BI, and Python for data analysis. Gain practical skills through hands-on projects and build a professional portfolio to launch your career.

• YouTube
• 20 hours
• On-Demand
• Free Video

Python for Finance: Investment Fundamentals & Data Analytics

27735 ratings at Udemy

Learn Python Programming and Conduct Real-World Financial Analysis in Python - Complete Python Training

• Udemy
• 8 hours 47 minutes
• On-Demand
• Paid Course

Complete A.I. & Machine Learning, Data Science Bootcamp

24394 ratings at Udemy

Learn Data Science, Data Analysis, Machine Learning (Artificial Intelligence) and Python with Tensorflow, Pandas & more!

• Udemy
• 1 day 19 hours 56 minutes
• On-Demand
• Paid Course

Deep Learning Prerequisites: The Numpy Stack in Python (V2+)

21864 ratings at Udemy

The Numpy, Scipy, Pandas, and Matplotlib stack: prep for deep learning, machine learning, and artificial intelligence

• Udemy
• 6 hours 13 minutes
• On-Demand
• Paid Course

Learning Python for Data Analysis and Visualization Ver 1

19833 ratings at Udemy

Learn python and how to use it to analyze,visualize and present data. Includes tons of sample code and hours of video!

• Udemy
• 21 hours 5 minutes
• On-Demand
• Paid Course

The Data Analyst Course: Complete Data Analyst Bootcamp

18767 ratings at Udemy

Complete Data Analyst Training: Python, NumPy, Pandas, Data Collection, Preprocessing, Data Types, Data Visualization

• Udemy
• 20 hours 57 minutes
• On-Demand
• Paid Course

Python for Financial Analysis and Algorithmic Trading

17611 ratings at Udemy

Learn numpy , pandas , matplotlib , quantopian , finance , and more for algorithmic trading with Python!

• Udemy
• 16 hours 39 minutes
• On-Demand
• Paid Course