Exploratory Data Analysis Courses and Certifications

Microcredential

Practice Essential Data Science Skills With Diamonds Dataset

Master data science fundamentals through hands-on practice with diamonds data - from exploratory analysis and cleaning to feature engineering and regression modeling using Python tools.

• CodeSignal
• On-Demand
• Free Certificate
• 5 courses

Microcredential

Data Science: Foundations using R

Master foundational data science skills: R programming, data manipulation, visualization, and reproducible research techniques for effective analysis and communication.

• Coursera
• 22 weeks, 8 hours a week
• On-Demand
• Paid Course
• 5 courses

Exploratory Data Analysis

6068 ratings at Coursera

Mastering essential exploratory techniques for summarizing data, including R plotting systems, multivariate statistical methods, and advanced graphing tools for high-dimensional data visualization.

• Coursera
• 55 hours
• On-Demand
• Free Online Course (Audit)

Wrangling Data in the Tidyverse

31 ratings at Coursera

Master data transformation techniques in R to efficiently reshape, manipulate, and analyze datasets using tidyverse packages, enhancing your ability to handle complex data structures and conduct exploratory analyses.

• Coursera
• 14 hours 5 minutes
• On-Demand
• Free Online Course (Audit)

Microcredential

Data Analysis with R

Master data analysis through R programming, from basic probability to advanced statistical modeling, while learning to create compelling visualizations and reproducible reports for informed decision-making.

• Coursera
• On-Demand
• Paid Course
• 3 courses

Predictive Modeling and Analytics

597 ratings at Coursera

Gain insights through data analysis, visualization, and predictive modeling techniques. Learn to use XLMiner for regression, classification, decision trees, and neural networks in business contexts.

• Coursera
• 10 hours 52 minutes
• On-Demand
• Free Online Course (Audit)

Exploratory Data Analysis

Learn data visualization and exploratory analysis using R. Develop statistical intuition, create graphical summaries, and perform probability experiments through hands-on practice with real-world examples.

• Coursera
• 9 hours 27 minutes
• On-Demand
• Free Online Course (Audit)

Statistical Methods

Learn statistical methods through real-life examples, R programming, and probability experiments. Develop skills in data analysis, visualization, and interpretation using RStudio. Gain practical insights applicable to various fields.

• Coursera
• 11 hours 42 minutes
• On-Demand
• Free Online Course (Audit)

Data Wrangling with Python Project

Apply data wrangling techniques to transform raw data into a refined dataset ready for analysis. Gain hands-on experience in identifying sources, collecting, integrating, and processing data for real-world challenges.

• Coursera
• 1 day 1 hour 40 minutes
• On-Demand
• Free Online Course (Audit)

Meaningful Marketing Insights

281 ratings at Coursera

Develop data analysis skills to extract marketing insights from consumer data using Excel. Learn visualization, descriptive statistics, and regression analysis for informed decision-making.

• Coursera
• 10 hours 12 minutes
• On-Demand
• Free Online Course (Audit)

Marketing Analytics Capstone Project

29 ratings at Coursera

Apply marketing analytics skills to conduct exploratory data analysis, examine variable relationships, and develop a predictive model for solving real-world marketing problems.

• Coursera
• 11 hours 1 minute
• On-Demand
• Free Online Course (Audit)

Data Analysis and Interpretation Capstone

47 ratings at Coursera

Apply data analysis techniques to address real-world societal issues using datasets from industry partners. Develop professional-quality reports showcasing findings and demonstrating acquired skills in data interpretation.

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

pandas Foundations

Learn how to use the industry-standard pandas library to import, build, and manipulate DataFrames.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Customer Analytics and A/B Testing in Python

Learn how to use Python to create, run, and analyze A/B tests to make proactive business decisions.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Modeling with Data in the Tidyverse

Discover different types in data modeling, including for prediction, and learn how to conduct linear regression and model assessment measures in the Tidyverse.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available