Data Exploration Courses and Certifications

Coursera

Analyze Data in a Model Car Database with MySQL Workbench

26 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

MathWorks

Data Science Project: MATLAB for the Real World

25 ratings at Coursera

Apply data science skills to real-world problems using MATLAB. Explore, process, analyze, and model data through a hands-on project. Develop expertise in feature engineering, machine learning, and result communication.

• Coursera
• 13 hours 12 minutes
• Self-Paced
• Paid Course

Coursera

Perform exploratory data analysis on retail data with Python

22 ratings at Coursera

Explore retail data using Python to gain insights into sales trends, customer behavior, and popular products, aiding in data-driven business decisions.

• Coursera
• 2 hours 32 minutes
• Self-Paced
• Paid Course

Career Certificate

Introduction to Data Science Techniques

22 ratings at Coursera

Gain insights into essential data science techniques, from time series analysis and statistical learning to data preparation, developing skills to build predictive models and interpret statistical outputs.

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

EDUCBA Career Certificate

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

Explore Raw Data

15 ratings at Coursera

Discover how to organize and interpret raw data using Python for exploratory data analysis, including data merging, cleaning, hypothesis creation, and ethical considerations.

• Coursera
• 7 hours 1 minute
• 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

Data Analytics Course with Generative AI

14 ratings at Coursera

Master data analytics with GenAI to automate workflows, generate insights, and build predictive models using ChatGPT-4, Julius AI, and Tableau Pulse for real-world impact.

• Coursera
• 6 hours 26 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

Board Infinity

Executing Full Text Queries with Elasticsearch

14 ratings at Coursera

Explore Elasticsearch's architecture, queries, and advanced techniques to master efficient search solutions and tackle complex data challenges.

• Coursera
• 12 hours 32 minutes
• Self-Paced
• Paid Course

EDUCBA

Linear Regression & Supervised Learning in Python

14 ratings at Coursera

Master linear regression and supervised learning fundamentals through hands-on Python projects, from data analysis to model evaluation and prediction techniques.

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

EDUCBA

Deep Learning RNN & LSTM: Stock Price Prediction

12 ratings at Coursera

Master RNN and LSTM techniques to build stock price prediction models using real Apple data, from preprocessing to evaluation with hands-on Python implementation.

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