Coursera Data Analysis Courses List

This Google Data Analytics course is designed to help you prepare for a new career in the high-growth field of data analytics, no experience or degree required. Over 8 courses, you'll gain in-demand skills that prepare you for an entry-level job, such as data cleaning, problem solving, critical thinking, data ethics, and data visualization. You'll learn from Google employees and have the opportunity to connect with top employers. With over 180 hours of instruction and hundreds of practice-based assessments, you'll get introduced to analysis tools and platforms and key analytical skills required for an entry-level job. Upon completion, you can directly apply for jobs with Google and over 150 U.S. employers. With a median entry-level salary of $92,000, this is an opportunity to jumpstart your career. View all

This course provides an overview of data privacy fundamentals, helping participants understand the evolution of data privacy and its importance to organizations and individuals. It is designed to introduce data privacy to a wide audience. View all

The Capstone project will allow you to continue to apply and refine the data analytic techniques learned from the previous courses in the Specialization to address an important issue in society. You will use real world data to complete a project with our industry and academic partners. View all

This course provides an introduction to the popular tools used by Data Science professionals. It covers the Data Scientist's tool kit, including libraries and packages, data sets, machine learning models, kernels, and open source, commercial, big data, and cloud-based tools. Through hands-on experience, learners will develop skills for working with these tools, including Jupyter Notebooks, JupyterLab, RStudio IDE, Git, GitHub, and Watson Studio. At the end of the course, learners will create a final project with a Jupyter Notebook, demonstrating their proficiency in preparing a notebook, writing Markdown, and sharing their work with peers. With the tools hosted in the cloud on Skills Network Labs, learners will be able to test each tool and follow instructions to run simple code in Python, R, or Scala. View all

This course is the perfect introduction to Data Analysis for those looking to start a career in the field. It covers the role of a Data Analyst, the tools used, and the skills and responsibilities required. You will learn about the data ecosystem, Big Data platforms, and the fundamentals of the data analysis process. With the help of data experts, you will gain tips and advice to start your career. The final project will test your knowledge and provide a real-world scenario of data analysis tasks. No prior experience is necessary. Start your journey into Data Analysis today! View all

This Google Data Analytics Capstone course is the eighth course in the Google Data Analytics Certificate. It provides learners with the opportunity to complete an optional case study, which will help prepare them for the data analytics job hunt. Learners will be guided by current Google data analysts to learn how to ask questions, prepare, process, analyze, visualize and act on data from a chosen analytics-based scenario. They will also gain valuable job hunt skills such as common interview questions and responses, materials to build a portfolio online, and more. By the end of this course, learners will be equipped to apply for introductory-level jobs as data analysts with no previous experience necessary. Sign up now to learn the benefits and uses of case studies and portfolios in the job search, explore real world job interview scenarios, and complete your own case study for your portfolio. View all

IBM Data Science Professional Certificate is a 9-course program designed to help anyone interested in pursuing a career in data science or machine learning develop career-relevant skills. It covers open source tools and libraries, Python, databases, SQL, data visualization, data analysis, statistical analysis, predictive modeling, and machine learning algorithms. Through hands-on practice in the IBM Cloud, you will build a portfolio of data science projects to provide you with the confidence to plunge into an exciting profession in data science. Upon completion, you will receive a Professional Certificate from Coursera and a digital badge from IBM. This program is ACE® recommended and you can earn up to 12 college credits. View all

This course provides an introduction to probability theory, Bayes' rule, and data exploration and sampling using the R programming language. Gain the skills to analyze and interpret data with confidence. View all

This mini-course is the perfect opportunity to demonstrate your foundational Python skills for working with data. You will assume the role of a Data Scientist or Data Analyst and be provided with a real-world data set and scenario to identify patterns and trends. You will use libraries such as Pandas and Beautiful Soup within a Jupyter Notebook to extract data, web scrape, visualize data and create a dashboard. Upon completion, you will have an impressive project to add to your job portfolio. Pre-requisite: Python for Data Science AI and Development course from IBM is a must for this project course. Don't miss out on this chance to showcase your Python proficiency and take your data science skills to the next level! View all

This Applied Data Science Capstone course is the perfect way to demonstrate your data science and machine learning skills. You will assume the role of a Data Scientist working for a startup competing with SpaceX, and use the Data Science methodology to predict if the first stage of the SpaceX Falcon 9 rocket will land successfully. You will use the skills you have learnt in previous courses to collect, wrangle, analyse, visualise and model data, and report your results to stakeholders. This course is the perfect way to add a project to your portfolio to showcase to employers. View all

This IBM Data Analyst Professional Certificate program provides learners with the job-ready skills to become an entry-level data analyst. With no prior programming or statistical skills required, learners will gain hands-on experience with data manipulation and applying analytical techniques. Through projects and labs, learners will learn to import, clean, and analyze data with Excel pivot tables, create interactive dashboards, extract and graph financial data with Python, query census, crime, and school demographic data sets with SQL, and more. At the end of the program, learners will complete a real-world capstone project to showcase their newly learned data analyst skills. Upon successful completion, learners can earn up to 12 college credits and be ACE® recommended. View all

Data management and visualization are essential tools for businesses of all sizes to gain insights and make informed decisions. By leveraging data, organizations can optimize operations, increase efficiency, and gain a competitive edge. View all

This Google Advanced Data Analytics course is designed to help you take the next step in your career. You'll gain the skills and knowledge needed to become an advanced data professional, including manipulating large data sets, using advanced analytics, and machine learning. Through over 200 hours of instruction, hands-on projects, and assessments, you'll learn Jupyter Notebook, Python, and Tableau. Upon completion, you can apply for jobs with Google and over 150 U.S. employers, including Deloitte, Target, and Verizon. 75% of certificate graduates report a positive career outcome within six months of completion. Take the next step in your career with this advanced data analytics course. View all

This course provides an introduction to the use of relational databases to support data warehouses, including the use of SQL for data manipulation and query. Students will gain an understanding of the fundamentals of relational databases and their application in data warehousing. View all

This course from The University of North Carolina at Chapel Hill and The University of Edinburgh provides learners with an introduction to research data management and sharing. Upon completion, learners will have a better understanding of the importance of data management and sharing in research. View all

Learn the basics of Ask Questions to Make Data-Driven Decisions View all

Discover the fundamentals of The Data Scientist’s Toolbox View all

Get a comprehensive overview of Introduction to Probability and Data with R View all

Gain an introduction to Getting and Cleaning Data View all

Learn the basics of Excel aplicado a los negocios (Nivel Avanzado) View all

Discover the fundamentals of Reproducible Research View all

Learn the basics of Data Visualization and Dashboards with Excel and Cognos View all

Learn the basics of Machine Learning: Clustering & Retrieval View all

Learn the basics of Introduction to Genomic Technologies View all

Get a comprehensive overview of Developing Data Products View all

Discover the fundamentals of Data Management and Visualization View all

Discover the fundamentals of Text Mining and Analytics View all

Explore the essentials of Text Retrieval and Search Engines View all

Get a comprehensive overview of Foundations of Business Intelligence View all

Get a comprehensive overview of IBM Data Analyst Capstone Project View all

Gain an introduction to Principles of fMRI 1 View all

Learn the basics of Introduction to R Programming for Data Science View all

Discover the fundamentals of Case studies in business analytics with ACCENTURE View all

Discover the fundamentals of Getting Started with SAS Visual Analytics View all

Get a comprehensive overview of AI Foundations for Everyone View all

Get a comprehensive overview of SAS Visual Business Analytics View all

Get a comprehensive overview of Basic Data Processing and Visualization View all

Learn the basics of Go Beyond the Numbers: Translate Data into Insights View all

Gain an introduction to Introduction to Designing Data Lakes on AWS View all

Discover the fundamentals of Preparing Data for Analysis with Microsoft Excel View all

Get a comprehensive overview of Analyzing and Visualizing Data in Looker View all

Explore the essentials of Principles of fMRI 2 View all

Discover the fundamentals of Practical SAS Programming and Certification Review View all

Explore the essentials of Regression Analysis: Simplify Complex Data Relationships View all

Learn the basics of Data Analysis and Reporting in SAS Visual Analytics View all

Get a comprehensive overview of Functional Programming in Scala Capstone View all

Explore the essentials of Geospatial Analysis Project View all

Gain an introduction to Google Advanced Data Analytics Capstone View all

Gain an introduction to Introduction to Statistical Analysis: Hypothesis Testing View all

Explore the essentials of Decisions, Decisions: Dashboards and Reports View all