Exploratory Data Analysis Courses and Certifications

Data Science with R - Capstone Project

112 ratings at Coursera

Apply data science skills in a real-world project: collect and analyze data, conduct hypothesis testing, create visualizations, and build models. Present findings through an interactive dashboard and executive summary.

• Coursera
• 1 day 39 minutes
• Self-Paced
• Paid Course

Tableau

Data Analysis with Tableau

111 ratings at Coursera

Manipulate data, perform exploratory analysis, and create reports using Tableau's analytics features. Learn descriptive statistics, visualizations, and predictive analytics for effective data interpretation and communication.

• Coursera
• 1 day 2 hours 4 minutes
• Self-Paced
• Paid Course

Statistical Thinking for Industrial Problem Solving, presented by JMP

100 ratings at Coursera

Aprenda a aplicar métodos estatísticos para resolver problemas industriais reais, desde análise exploratória de dados até modelagem preditiva e mineração de texto.

• Coursera
• 2 days 5 hours 3 minutes
• Self-Paced
• Paid Course

Data Science + Data Analytics Career Path: 100 Days Bootcamp

1582 ratings at Udemy

A full-fledged Data Mastery Course for Everyone. Master Stats, Maths, Python, EDA, Machine & Deep Learning in 100 Days.

• Udemy
• 2 days 29 minutes
• Self-Paced
• Paid Course

Machine Learning for Absolute Beginners - Level 3

1172 ratings at Udemy

Learn to Master Data Visualization and perform Exploratory Data Analysis (EDA) using Python, Matplotlib and Seaborn

• Udemy
• 3 hours 1 minute
• Self-Paced
• Paid Course

Coursera

Basic Statistics in Python (Correlations and T-tests)

35 ratings at Coursera

Learn Python for basic statistics: data handling, exploratory analysis, correlations, t-tests. Analyze World Bank Science and Technology data using boxplots, scatter plots, and statistical methods.

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

Visualization for Data Analysis with Power BI

30 ratings at Coursera

Master advanced data visualization and analysis techniques in Power BI, from statistical fundamentals to AI-driven insights, enabling effective data-driven decision making through practical applications and real-world scenarios.

• Coursera
• 22 hours 48 minutes
• Self-Paced
• Paid Course

Clean Your Data

29 ratings at Coursera

Master essential data cleaning techniques including handling missing values, outliers, categorical encoding, and input validation using Python for robust analysis.

• Coursera
• 6 hours 24 minutes
• Self-Paced
• Paid Course

Coursera

Analyze Data in a Model Car Database with MySQL Workbench

21 ratings at Coursera

Explore a model car database using MySQL Workbench to recommend inventory reduction strategies for Mint Classics Company, supporting data-driven decisions on facility closure.

• Coursera
• 1 hour 22 minutes
• Self-Paced
• Paid Course

EDUCBA Credential

Seaborn Python Data Visualization & Analysis

22 ratings at Coursera

Master Python's Seaborn library to create compelling data visualizations, from basic plots to advanced statistical graphics, with hands-on practice using real datasets.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 4 courses

Python for Data Science and Machine Learning beginners

1080 ratings at Udemy

A Complete Machine learning Bootcamp learn Numpy, Pandas, Matplotlib, Stats, Plotly , EDA , Scikit-learn and more!

• Udemy
• 7 hours 40 minutes
• Self-Paced
• Paid Course

The DMAIC Framework: Analyze, Improve, and Control Phase

18 ratings at Coursera

Learn to analyze root causes, implement solutions, and sustain improvements using data analysis techniques, hypothesis testing, and control plans. Master the final phases of DMAIC for effective process optimization and quality control.

• Coursera
• 8 hours 41 minutes
• Self-Paced
• Paid Course

EDUCBA

Python: Logistic Regression & Supervised ML

17 ratings at Coursera

Master logistic regression and supervised ML using Python with the Titanic dataset, covering data analysis, feature engineering, model building, and evaluation techniques.

• Coursera
• 4 hours 39 minutes
• Self-Paced
• Paid Course

Packt

R Programming for Statistics and Data Science

15 ratings at Coursera

Master R programming for data analysis and visualization. Learn statistical techniques, hypothesis testing, and regression modeling to extract insights from real-world datasets and make data-driven decisions.

• Coursera
• 8 hours 51 minutes
• Self-Paced
• Paid Course

Fractal Analytics

Foundations of Machine Learning

14 ratings at Coursera

Demystify machine learning fundamentals, build models, analyze data, and apply strategies to real-world scenarios. Gain practical skills for data-driven decision-making and problem-solving.

• Coursera
• 1 day 1 hour 5 minutes
• Self-Paced
• Paid Course