
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
Beginner · Course · 1 - 3 Months

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), File Management, Web Presence, Data Structures, Interviewing Skills
Build toward a degree
Beginner · Professional Certificate · 3 - 6 Months

Skills you'll gain: Data Ethics, Data Analysis, Analytics, Data-Driven Decision-Making, Google Sheets, Business Analytics, Spreadsheet Software, Analytical Skills, Tableau Software, Data Sharing, Data Collection, Data Cleansing, Data Processing, Data Visualization Software, Data Visualization, SQL
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Data Storytelling, Data Visualization, A/B Testing, Sampling (Statistics), Data Analysis, Exploratory Data Analysis, Regression Analysis, Data Visualization Software, Data Presentation, Data Ethics, Feature Engineering, Statistical Hypothesis Testing, Analytics, Statistical Analysis, Data Science, Tableau Software, Machine Learning, Object Oriented Programming (OOP), Web Presence, Python Programming
Build toward a degree
Advanced · Professional Certificate · 3 - 6 Months
Macquarie University
Skills you'll gain: Pivot Tables And Charts, Data Storytelling, Power BI, Data Presentation, Microsoft Excel, Excel Formulas, Dashboard Creation, Data Visualization Software, Data Visualization, Interactive Data Visualization, Dashboard, Data Cleansing, Data Manipulation, Data Preprocessing, Spreadsheet Software, Excel Macros, Tree Maps, Data Transformation, Data Wrangling, Data Analysis
Intermediate · Specialization · 3 - 6 Months

Simplilearn
Skills you'll gain: Matplotlib, NumPy, Python Programming, Pandas (Python Package), Analytical Skills, Plot (Graphics), Data Analysis, Data Visualization Software, Scripting, Analytics, Numerical Analysis, Data Manipulation, Graphing, Product Automation, Data Processing, Programming Principles, Data Validation
Beginner · Course · 1 - 4 Weeks

DeepLearning.AI
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
Beginner · Professional Certificate · 3 - 6 Months

Skills you'll gain: Data Storytelling, Data Presentation, Business Metrics, Key Performance Indicators (KPIs), Performance Metric, Data Cleansing, Data Modeling, Analytics, Data Analysis, Data Visualization, Analytical Skills, Exploratory Data Analysis, Data Quality, Data Manipulation, Generative AI, Data Collection, Data Management, Marketing
Beginner · Course · 1 - 3 Months

Skills you'll gain: Data Storytelling, Exploratory Data Analysis, Database Design, Data Wrangling, Shiny (R Package), Ggplot2, Data Presentation, Data Visualization Software, Data Visualization, Relational Databases, Statistical Visualization, Interactive Data Visualization, Statistical Analysis, Dashboard, Microsoft Excel, Analytical Skills, R (Software), Excel Formulas, Data Cleansing, Data Manipulation
Build toward a degree
Beginner · Professional Certificate · 3 - 6 Months

DeepLearning.AI
Skills you'll gain: Data Storytelling, Google Sheets, Data Visualization, Statistical Visualization, Spreadsheet Software, Large Language Modeling, Data Literacy, Data Presentation, Data Visualization Software, Requirements Elicitation, LLM Application, Business Analysis, Requirements Analysis, Data Analysis, Analytics, Business Requirements, Analytical Skills, Exploratory Data Analysis, Data-Driven Decision-Making, Productivity Software
Beginner · Course · 1 - 4 Weeks

University of Colorado Boulder
Skills you'll gain: Data Governance, Data Management, Business Analytics, Analytics, Data Quality, Data Ethics, Data Analysis, Analytical Skills, Big Data, Information Systems, Data Storage Technologies, Databases, Organizational Structure, Data-Driven Decision-Making, Data Access, Relational Databases, SQL, Data Storage, Cloud Computing
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: NumPy, Pandas (Python Package), Analytics, Plot (Graphics), Model Evaluation, Statistical Visualization, Jupyter, Data Analysis, Applied Machine Learning, Analytical Skills, Numerical Analysis, Model Training, Data Manipulation, Exploratory Data Analysis, Advanced Analytics, Data Wrangling, Python Programming, Descriptive Statistics, Linear Algebra, Data Import/Export
Beginner · Course · 1 - 3 Months
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.‎
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.‎
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.‎
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.‎
Yes. You can start learning data analytics on Coursera for free in two ways:
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.‎
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.‎
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.‎
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.‎