Data Exploration Courses and Certifications

Great Learning

IPL Data Analysis Using EDA - Exploratory Data Analysis Case Study

8 ratings

Practical guide to IPL data analysis using Python, covering EDA techniques, data preprocessing, and visualization to extract insights from real-world cricket datasets.

• YouTube
• 1 hour 6 minutes
• Self-Paced
• Free Video

Cloudera

Analyzing Big Data with SQL

531 ratings at Coursera

Comprehensive SQL training focusing on big data engines, covering SELECT statements, data filtering, aggregation, and table joins for effective data analysis and manipulation.

• Coursera
• 17 hours 47 minutes
• Self-Paced
• Paid Course

Prepare Data for Exploration

Master spreadsheets and SQL for data extraction, organization, and protection with practical tips from Google data analysts, covering data types, ethics, databases, and BigQuery.

• Google Skills
• 18 hours
• Self-Paced
• Free Online Course

Coursera Career Certificate

Modern Data Analytics with Python, Excel & Generative AI

486 ratings at Coursera

Master data analytics by integrating Python, Excel, and AI for visualization, automation, forecasting, and delivering actionable insights through advanced statistical methods.

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

Data Mining Project

51 ratings at Coursera

Analyze Yelp restaurant reviews to discover insights on cuisines, popular dishes, and dining recommendations. Apply data mining techniques to visualize opinions and construct cuisine maps.

• Coursera
• 14 hours 43 minutes
• Self-Paced
• Paid Course

Meaningful Marketing Insights

293 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
• 11 hours 12 minutes
• Self-Paced
• Paid Course

Career Certificate

Business Analytics Graduate Certificate

Study and use analytic languages, build data preparation and communication knowledge, and expand your business analytic mindset through exposure to theory, strategy, and application.

• Coursera
• Self-Paced
• Paid Course

Unsupervised Machine Learning

368 ratings at Coursera

Explore unsupervised machine learning techniques, including clustering and dimensionality reduction, to uncover insights from unlabeled data. Gain hands-on experience with algorithms and best practices.

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

Data Analysis and Reporting in SAS Visual Analytics

363 ratings at Coursera

In this course, you learn how to use SAS Visual Analytics on SAS Viya to modify data for analysis, perform data discovery and analysis, and create interactive reports.

• Coursera
• 8 hours 52 minutes
• Self-Paced
• Paid Course

Create Machine Learning Models in Microsoft Azure

331 ratings at Coursera

Aprende los principios de machine learning y cómo usar herramientas como scikit-learn, TensorFlow y PyTorch en Azure. Prepara modelos predictivos, optimízalos y despliega soluciones de machine learning en producción.

• Coursera
• 10 hours 55 minutes
• Self-Paced
• Paid Course

Coursera

Principal Component Analysis with NumPy

298 ratings at Coursera

Implement Principal Component Analysis from scratch using NumPy, conduct exploratory data analysis, and create visualizations with Seaborn and Matplotlib in Python.

• Coursera
• 1 hour 35 minutes
• Self-Paced
• Paid Course

Data Engineering on AWS - Foundations

288 ratings at Coursera

Learn essential data engineering concepts, AWS services, and tools for building, automating, and securing data solutions. Explore CI/CD, IaC, serverless applications, cost optimization, and authentication on AWS.

• Coursera
• 1 hour 3 minutes
• Self-Paced
• Paid Course

Exploratory Data Analysis

10 ratings at Coursera

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 37 minutes
• Self-Paced
• Paid Course

Statistical Methods

10 ratings at Coursera

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 52 minutes
• Self-Paced
• Paid Course

Fundamentals of Watson Analytics

3651 ratings at Udemy

Explore IBM Watson Analytics' cloud-based data analysis and visualization tools. Learn to import, refine, and query data, discover insights, and create compelling visualizations and dashboards.

• Udemy
• 1 hour 5 minutes
• Self-Paced
• Paid Course