Learn how to use R to clean, analyze, visualize data, Navigate the data science pipeline from data acquisition to publication, Use GitHub to manage data science projects. 4.5 (64,370 ratings) & 263671 already enrolled!

Get introduced to data science in Python, Applied Plotting and Applied Machine Learning in Python. Learn Python libraries, like matplotlib, pandas, nltk, scikit-learn, and networks. 4.5 (25,431 ratings) & 118,626 already enrolled!

This course is for anyone looking to build a career in a career in Data Science or Machine Learning. The lectures cover a wide range of topics including data visualization, analysis, libraries, and open source tools. One of the mo...

This 5-week online course on Data Engineering, Big Data, and Machine Learning (ML) on Google Cloud Platform Specialization. Launch your career in Data Engineering. Deliver business value with big data & ML.

It covers data science topics including scalable SQL & NoSQL data management solutions, data mining algorithms, practical statistical and machine learning concepts. 4.0 (1,142 ratings) & 11,358 already enrolled!

An excellent course for the folks who do not have any knowledge or skills in SQL. You will learn common operators, strings & numbers through programming assignments & a final project. 4.6 rating and 125,509 enrolled.

Visualize Business Data with Tableau. Create powerful business intelligence reports. You'll Examine, navigate & learn to use the various features of Tableau. 4.5 (5,806 ratings) & 31,863 already enrolled!

You'll learn how to use Python to analyze data (big data analytics), create beautiful visualizations (data visualization) and use powerful machine learning algorithms. 4.5 (60,046 ratings) & 284,916 students enrolled!

Learn Data Science step by step through real Analytics examples. Data Mining, Modeling, Tableau Visualization and more. Real-Life Data Science Exercises are Included. 4.6 (22,392 ratings) & 120,257 students enrolled!

The course offered by Microsoft consists of 9 courses & a project. This course will cover probability & statistics, data exploration, visualization, introduction to machine learning using the Microsoft Azure framework.

MicroMasters from edX are advanced, graduate-level courses. In this Course, You'll begin from the very basics of probability and statistics before moving on to data analysis techniques and machine learning algorithms.

Offered by UC San Diego. In this course, you'll learn How to: load and clean real-world data, make reliable statistical inferences from noisy data, use machine learning to learn models for data, visualize complex data.

Offered by Google Cloud, The courses feature interactive scenarios and hands-on labs where participants explore, mine, load, visualize, and extract insights from diverse Google BigQuery datasets.

Offered by IBM, You will be introduced to the modern data ecosystem, consisting of databases and other data sources within and outside your organization.

Offered by IBM, You will be introduced to the modern data ecosystem, consisting of databases and other data sources within and outside your organization.

Offered by Illinois Uni., The Data Mining Specialization teaches data mining techniques for both structured data which conform to a clearly defined schema, and unstructured data which exist in the form of natural language text.

This Specialization covers data architecture skills that are increasingly critical across a broad range of technology fields. You’ll learn the basics of structured data modeling, gain practical SQL coding experience.

Offered by Johns Hopkins Uni., Learners aspiring to become biostatisticians and data scientists will benefit from the foundational knowledge being offered in this specialization.

In this specialization, you will leverage existing skills to learn new ones that will allow you to utilize advanced technologies not traditionally linked to this role - technologies like Databricks and Apache Spark.

This Specialization covers data architecture skills. You’ll learn the basics of structured data modeling, gain practical SQL coding experience, and develop an in-depth understanding of data warehouse design and data manipulation.