Full content Thu gọn # Best Data Analytics Courses & Certificates [2026] | Coursera
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Best Data Analytics Courses & Certificates [2026] | Coursera For Individuals For Businesses For Universities For Governments Explore Degrees ​ Log In Join for Free Join for Free Browse Data Analytics Data Analytics Courses Data analytics courses can help you learn data visualization, statistical analysis, and data cleaning techniques. You can build skills in interpreting complex datasets, making data-driven decisions, and communicating insights effectively. Many courses introduce tools like Excel, SQL, and Tableau, that support analyzing data and presenting findings. You'll also explore methods such as regression analysis and A/B testing, which are crucial for evaluating performance and optimizing strategies. Popular Data Analytics Courses and Certifications Filter & Sort Topic Duration Learning Product Language Level Status: Free Trial Free Trial I IBM Introduction to Data Analytics Skills you'll gain : Data Storytelling, Data Wrangling, Data Presentation, Big Data, Interactive Data Visualization, Data Analysis, Statistical Visualization, Data Cleansing, Apache Hadoop, Statistical Analysis, Data Visualization, Data Import/Export, Apache Hive, Data Mart, Data Processing, Data Warehousing, Data Transformation, Apache Spark, Data Science, Microsoft Excel 4.8 Rating, 4.8 out of 5 stars · 21K reviews Beginner · Course · 1 - 3 Months Status: Job Skills Job Skills G Google Google Data Analytics Skills you'll gain : Data Storytelling, Rmarkdown, Data Visualization, Data Presentation, Data Ethics, Data Cleansing, Interactive Data Visualization, Data Validation, Ggplot2, R (Software), Sampling (Statistics), Spreadsheet Software, Data Analysis, Stakeholder Communications, LinkedIn, Object Oriented Programming (OOP), Data Literacy, Web Presence, Data Structures, Interviewing Skills Build toward a degree 4.8 Rating, 4.8 out of 5 stars · 181K reviews Beginner · Professional Certificate · 3 - 6 Months Status: New New Status: Free Trial Free Trial M Microsoft Microsoft Data Analysis with SQL, Excel & Power BI Skills you'll gain : Data Storytelling, Power BI, Dashboard, Data Presentation, Microsoft SQL Servers, Transact-SQL, Statistical Visualization, Pivot Tables And Charts, Data Cleansing, Data Visualization Software, SQL, Transaction Processing, Microsoft Excel, Data Manipulation, Data Processing, Data Visualization, Dashboard Creation, Data Analysis, Business Intelligence, Data Management 4.6 Rating, 4.6 out of 5 stars · 1.4K reviews Beginner · Specialization · 3 - 6 Months Status: Bestseller Bestseller G Google Foundations: Data, Data, Everywhere Skills you'll gain : Data Ethics, Data Analysis, Analytics, Data-Driven Decision-Making, Spreadsheet Software, Analytical Skills, Tableau Software, Data Sharing, Data Cleansing, Data Processing, Data Visualization Software, Data Visualization, SQL 4.8 Rating, 4.8 out of 5 stars · 123K reviews Beginner · Course · 1 - 4 Weeks Status: Job Ready Job Ready G Google Google Advanced Data Analytics Skills you'll gain : Interactive Data Visualization, Statistics, Descriptive Statistics, Logistic Regression, Decision Tree Learning, Advanced Analytics, Probability & Statistics, Probability Distribution, Statistical Inference, Applied Machine Learning, Data-Driven Decision-Making, Supervised Learning, Workflow Management, Statistical Methods, Statistical Modeling, Data Cleansing, Data Structures, Interviewing Skills, NumPy, Professional Development Build toward a degree 4.8 Rating, 4.8 out of 5 stars · 12K reviews Advanced · Professional Certificate · 3 - 6 Months Status: Job Skills Job Skills I IBM IBM Data Analyst Skills you'll gain : Data Storytelling, Dashboard Creation, Dashboard, Data Presentation, Generative AI, Plotly, Data Visualization Software, Web Scraping, Data Visualization, Exploratory Data Analysis, Data Wrangling, SQL, Plot (Graphics), IBM Cognos Analytics, Data Analysis, Professional Networking, Excel Formulas, Data Import/Export, Python Programming, Microsoft Excel Build toward a degree 4.6 Rating, 4.6 out of 5 stars · 99K reviews Beginner · Professional Certificate · 3 - 6 Months What brings you to Coursera today? Start my career Change my career Grow in my current role Explore topics outside of work Status: Job Skills Job Skills D DeepLearning.AI DeepLearning.AI Data Analytics Skills you'll gain : Data Storytelling, Web Scraping, Google Sheets, Data Visualization, Data Presentation, Statistical Visualization, Spreadsheet Software, Large Language Modeling, Tableau Software, Data Literacy, Dashboard, Pandas (Python Package), Time Series Analysis and Forecasting, Probability & Statistics, Extract, Transform, Load, Statistical Analysis, Statistics, Data Manipulation, Data Analysis, Descriptive Statistics 4.7 Rating, 4.7 out of 5 stars · 278 reviews Beginner · Professional Certificate · 3 - 6 Months Status: Free Trial Free Trial M Macquarie University Excel Skills for Data Analytics and Visualization Skills you'll gain : Pivot Tables And Charts, Data Storytelling, Power BI, Data Presentation, Microsoft Excel, Dashboard Creation, Data Visualization Software, Data Visualization, Interactive Data Visualization, Excel Formulas, Dashboard, Data Transformation, Spreadsheet Software, Excel Macros, Tree Maps, Data Analysis, Data Wrangling, Data Cleansing, Data Manipulation, Business Intelligence Software 4.8 Rating, 4.8 out of 5 stars · 6.1K reviews Intermediate · Specialization · 3 - 6 Months Status: Bestseller Bestseller I IBM IBM Data Analytics with Excel and R Skills you'll gain : Data Storytelling, Data Wrangling, Exploratory Data Analysis, Database Design, Ggplot2, Data Presentation, Data Visualization Software, Data Visualization, Relational Databases, Statistical Visualization, Data Collection, Interactive Data Visualization, Predictive Modeling, Statistical Analysis, Microsoft Excel, Analytical Skills, R (Software), Excel Formulas, Data Cleansing, Data Manipulation Build toward a degree 4.7 Rating, 4.7 out of 5 stars · 32K reviews Beginner · Professional Certificate · 3 - 6 Months Status: Preview Preview S Simplilearn Data Analytics with Python Skills you'll gain : Matplotlib, NumPy, Python Programming, Data Presentation, Pandas (Python Package), Analytical Skills, Plot (Graphics), Data Analysis, Data Visualization Software, Analysis, Data-Driven Decision-Making, Scripting, Analytics, Numerical Analysis, Data Manipulation, Graphing, Product Automation, Data Processing, Programming Principles, Data Validation 4.9 Rating, 4.9 out of 5 stars · 22 reviews Beginner · Course · 1 - 4 Weeks Status: Free Trial Free Trial G Google Introducing Data Analytics and Analytical Thinking Skills you'll gain : Analysis, Analytics, Data Infrastructure, Data Ethics 4.6 Rating, 4.6 out of 5 stars · 54 reviews Beginner · Course · 1 - 3 Months Status: Free Trial Free Trial D DeepLearning.AI Data Analytics Foundations Skills you'll gain : Data Storytelling, Google Sheets, Data Visualization, Statistical Visualization, Spreadsheet Software, Large Language Modeling, Data Literacy, Data Presentation, Data Visualization Software, LLM Application, Business Analysis, Requirements Analysis, Data Analysis, Analytics, Business Requirements, Analytical Skills, Exploratory Data Analysis, Data-Driven Decision-Making, Productivity Software, Google Workspace 4.8 Rating, 4.8 out of 5 stars · 216 reviews Beginner · Course · 1 - 4 Weeks 1 2 3 4 … 834 In summary, here are 10 of our most popular data analytics courses Introduction to Data Analytics : IBM Google Data Analytics : Google Microsoft Data Analysis with SQL, Excel & Power BI : Microsoft Foundations: Data, Data, Everywhere : Google Google Advanced Data Analytics : Google IBM Data Analyst : IBM DeepLearning.AI Data Analytics : DeepLearning.AI Excel Skills for Data Analytics and Visualization : Macquarie University IBM Data Analytics with Excel and R : IBM Data Analytics with Python : Simplilearn Frequently Asked Questions about Data Analytics Chevron Right What is Data Analytics, and why is it important? Data analytics is the process of examining data sets to draw conclusions about the information they contain. It involves using various tools and techniques to analyze data, identify patterns, and make informed decisions. In today's data-driven world, data analytics is crucial for businesses and organizations as it helps them understand customer behavior, optimize operations, and drive strategic initiatives. By leveraging data analytics, companies can enhance their competitiveness and make evidence-based decisions that lead to better outcomes. Chevron Right What jobs can I get with Data Analytics skills? A career in data analytics can open doors to various job opportunities. Common roles include data analyst, business intelligence analyst, data scientist, and data engineer. These positions often involve interpreting complex data sets, creating visualizations, and providing actionable insights to stakeholders. Additionally, industries such as finance, healthcare, marketing, and technology are increasingly seeking professionals skilled in data analytics, making it a versatile and in-demand field. Chevron Right What skills do I need to learn for Data Analytics? To succeed in data analytics, you need a combination of technical and analytical skills. Key skills include proficiency in data manipulation tools like Excel, SQL, and programming languages such as Python or R. Understanding statistical analysis , data visualization techniques, and machine learning concepts is also beneficial. Furthermore, strong problem-solving abilities and critical thinking are essential for interpreting data effectively and communicating findings to non-technical audiences. Chevron Right What are the best Data Analytics courses online? There are numerous online courses available for those interested in data analytics. Some of the best options include the Google Data Analytics Professional Certificate and the IBM Data Analytics with Excel and R Professional Certificate . These programs provide comprehensive training and practical experience, making them ideal for anyone looking to build a solid foundation in data analytics. Chevron Right Can I study Data Analytics for free on Coursera? Yes. You can start learning data analytics on Coursera for free in two ways: Preview the first module of many data analytics courses at no cost. This includes video lessons, readings, graded assignments, and Coursera Coach (where available). Start a 7-day free trial for Specializations or Coursera Plus. This gives you full access to all course content across eligible programs within the timeframe of your trial. If you want to keep learning, earn a certificate in data analytics, or unlock full course access after the preview or trial, you can upgrade or apply for financial aid. Chevron Right How do I learn Data Analytics? To learn data analytics, start by identifying your learning goals and the specific skills you want to acquire. You can begin with introductory courses that cover the basics of data analysis and gradually progress to more advanced topics. Engage with hands-on projects to apply what you learn in real-world scenarios. Additionally, joining online communities or forums can provide support and resources as you navigate your learning journey. Chevron Right What topics are typically covered in Data Analytics courses? Data analytics courses typically cover a range of topics, including data collection and cleaning, exploratory data analysis , statistical methods, data visualization , and predictive modeling . Many courses also introduce tools and software commonly used in the industry, such as Excel, SQL, and programming languages like Python or R. By exploring these topics, learners can develop a well-rounded understanding of data analytics and its applications. Chevron Right What Data Analytics courses are best for training and upskilling employees or the workforce? For training and upskilling employees in data analytics, programs like the Google Advanced Data Analytics Professional Certificate and the DeepLearning.AI Data Analytics Professional Certificate are excellent choices. These courses are designed to equip professionals with the necessary skills to analyze data effectively and make data-driven decisions, enhancing their contributions to their organizations. Show all 8 frequently asked questions This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals. 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