20 Free Data Analytics Courses With Certificates
Data Analytics is evolving rapidly to meet the demands of the 21st Century. Some provide free online courses regarding data analytics to meet this growing demand.
From the beginner to advanced skill level, these online programs equip you with the skills to turn raw data into actionable insights. This article covers all the free online data analytics courses with valuable certifications.
1. Introduction To Analytics
- Level: Beginner
- Provided by: Great Learning
This introductory analytics course will help to analyze the data to make decisions in a business context and cover the fundamentals of business analytics. The course module is divided into four categories, descriptive, diagnostic, predictive, and prescriptive analytics.
Through all categories, you will know what happened in the past, identify why it happened, and what might happen in the future through predictive analysis. You will also learn the differences between Data Science and Data Analytics.
What You Will Learn
- Spectrum of Analytics
- Descriptive Analytics
2. Data Analytics Short Course
- Level: Beginner
- Available on: Career Foundry
This course will provide a practical introduction to data analytics, prepared by the same professionals who developed our Data Analytics program. You will learn a real dataset, beginning with data cleansing and concluding with visualizations and key insights.
If you want a short introduction to data analytics, this free 5-tutorial is perfect among all the other free courses. You may access five practicals after signing up for the course, each focusing on a different stage of the data analytics process. It will also give you a general understanding, allowing you to research further.
What You Will Learn
- Data Analytics Introduction and Data Cleaning
- Data Visualization
- Story Telling with data
- Descriptive Statistics
3. Application Of Analytics
- Level: Beginner
- Available on: Great Learning
Analytics is the systematic approach to the computational analysis of data and statistics to derive valuable meaning, patterns, and trends from bigger data collection. It plays a vital role in almost every domain with multiple applications.
In this course, you will understand the application of analytics in two popular domains; E-commerce and insurance. You will first understand the e-commerce industry and then the application of analytics in the field of e-commerce with the help of a case study.
What You Will Learn
- E-commerce Industry
- Insurance Company Architecture and Analysis
4. Introduction To Data Analytics
- Level: Beginner
- Available on: Simplilearn
This data analytics designed for beginners offers a solid foundation for working with various data, data visualization for decision-making, and data analytics in different sectors.
You will get a chance to learn different methodologies through this program and drive better business decisions. Anyone who wants to work as a data analyst or analytics manager should enroll in this program. It is one of the best free courses where you can get data science approaches for better business decisions. You will also learn about the Analytics framework and the latest trends in data science approaches.
What You Will Learn
- Data Analytics types
- Frequency distribution plots
- Data Visualization
- Data Science Methodologies
- Trends in data analytics
5. Python For Data Analysis
- Level: Beginner
- Available on: Great Learning
This course will help you learn the fundamentals of data analysis with Python, supervised by a subject matter as you use various tools to analyze different datasets. You can enroll in this free online course to advance your career in data analysis and learn about several working methods for libraries.
You will also have practical experience working with several datasets including football, cricket, and Marvel Superheroes while developing engaging visualizations to portray the examined data. Furthermore, you will also learn how to use Python to load several dataset formats in the Notebook.
What You Will Learn
- EDA
- Python Jupyter Notebook
- Pandas
- Seaborn
- Data Analysis
6. Excel Basics For Data Analytics
- Level: Beginner
- Available on: Coursera
Spreadsheet tools like Excel are crucial for working with data, whether for data analytics, business, marketing, or research. This course is made to provide you with a basic working knowledge of Excel and how to use it for analyzing data.
It is suitable for those interested in pursuing a career in data science or anyone looking to use Excel in their domain. All you need is a device with a modern web browser and the ability to create a Microsoft account to access Excel online. Also, you will be able to analyze data in Excel by using filter, sort, look-up functions, and pivot tables.
What You Will Learn
- Working Knowledge of Excel
- Data Quality techniques to import and clean data in Excel
- Basic Spreadsheet tasks
- Analyze data in spreadsheets
7. Lean Analytics Workshop - Alistair Croll And Ben Yoskovitz
- Level: Beginner
- Available on: Udemy
The adoption of the principles of lean analytics is a wonderful method to improve your business decisions. This course will guide you through the fundamentals in this class, where you can examine the business models to understand how they are applied to new businesses.
It will assist you to comprehend the analytics principles, the data-driven attitude, and the Lean startup and see how six examples of business models relate to start-ups of all sizes. You will also learn how to draw a line in the stand to indicate when it is time to move forward by identifying the one metric that matters to you.
What You Will Learn
- Lean Startup, Analytics fundamentals
- Data-driven mindset and Six sample business models
- Find the One Metric That Matters to you
- Lean Analytics Principles
8. Introduction To Data Visualization
- Level: Beginner
- Available on: Simplilearn
The Data Visualization Basics course will help you learn how to make sense of data by creating information and engaging reports and dashboards. You will use tools, including Tableau, Power BI, Excel, R, and Python to create visualizations.
At the end of the course, you will understand how to derive meaningful conclusions from data. As data-driven decision-making becomes more prevalent across industries, the need for skilled data visualization professionals continues growing. It comprises 9 hours of self-paced video content helping you to communicate data-driven findings effectively using visuals.
What You Will Learn
- Data visualization principles
- Communicating data-driven findings
- Using ggplot2 to create customized plots
9. IBM Data Analyst Professional Certificate
- Level: Beginner
- Available on: Coursera
This course will teach you the functional data skills employers seek for entry-level data analytics roles. Not only does it help start a career in data analytics, but it also provides a strong foundation for future career development in data science, AI, or deep learning.
You will also get a chance to learn the skills and tools used by professional data analysts including Excel spreadsheets, Python, Pandas, Numpy, and Jupyter Notebooks. You will work with various data sources and project scenarios to gain practical experience with data manipulation and analytical skills.
What You Will Learn
- Up-to-date practical skills and tools
- Visualization of data using various charts
- Working knowledge of Python Language
- Hands-on experience on labs and projects
10. Basics Of EDA With Python
- Level: Beginner To Intermediate
- Available on: Great Learning
EDA also called Exploratory Data Analysis, is popularly called the essential application of Data Analytics. It involves looking through the data in a structured manner and analyzing and assessing patterns present in data, to gain meaningful insights.
If you are eager to learn EDA with Python, this course will provide the in-depth knowledge required to get up to speed with EDA with the theoretical introduction to hands-on practical sessions. Furthermore, visualization is a crucial part of EDA and the course has covered it.
What You Will Learn
- Practical visualization walkthrough
- Data analysis with Python
11. Data Science For Everyone
- Level: Beginner
- Available on: Datacamp
Data science is popular and is the hottest job of the 21st century. In this nontechnical course, you will know everything you were too afraid to ask about the fast-growing field without writing any single code.
Along with the theoretical knowledge, you will get hands-on experiences to learn about the different data scientist roles and foundation topics like A/B testing, time series analysis, and machine learning. Also, you will learn how data scientists extract knowledge and insights from real-world data.
What You Will Learn
- Data Science Introduction
- Data Collection and Storage
- Preparation, Exploration, and Visualization
- Experimentation and Prediction
12. Learn To Code For Data Analysis
- Level: Beginner
- Available on: OpenLearn
Software and data can make the world go round. You should learn proper programming and visualize open data with this free course. This course will teach you how to write your computer programs, one line of code at a time. You will also learn to access open data, clean and analyze it, and produce visualizations.
You will code in Python, a widely used programming language across all disciplines. You will also write up analyses and do coding exercises using the popular Jupyter Notebooks platform, allowing you to see the result of running your code and helping you identify and fix errors more easily.
What You Will Learn
- Basic programming and Data Analysis
- Open Data Sources as a public resource
- Programming environment to develop programs
- Analyzing Large bodies of data
13. Google Data Analytics
- Level: Beginner to Intermediate
- Available on: Google via Coursera
If you are preparing for a new career in data analytics, you won't need experience or any degree. You can get professional training by Google to join for free and chances to connect with top employers.
This training is scattered into eight courses, which will help you prepare for an entry-level job. You will also learn from Google employees whose foundations in data analytics served as a launchpad for their careers. The course includes data, its foundation, making data-driven decisions, and how to prepare, process, and share data.
What You Will Learn
- Data Analysis With R programming
- Sharing Through Visualization Art
- Analyze Data to Answer Questions
- Process Data From Dirty to Clean
14. Data Analysis With Python: Zero To Pandas
- Level: Beginner to Intermediate
- Available on: Jovian
It is a practical and beginner-friendly introduction to data analysis covering the basics of Panda, Nympy, data visualization, and Exploratory Data analysis. This course is self-paced and has no deadlines.
The course is broken down into different lessons with their attached assignment to accomplish. You will learn about the quick tour of variables and data types, python and jupyter notebooks, and branching with conditional statements and loops. Also, you will get to practice Python basics while solving word problems using variables and manipulating data types using methods and operators.
What You Will Learn
- Programming with Python
- Pythons Basics Practice
- Numerical Computing WIth Numpy
- Analyzing Tabular data with Pandas
- Exploratory Data Analysis
15. Big Data Analytics Course
- Level: Intermediate
- Available on: Great Learning
This course is taught hands-on by the experts. You will understand about Hadoop, hive, Apache Kafka, and Spark. It will introduce you to the prominent data tools with a few demonstrations and case studies. The course shall focus on working with each tool for analytics purposes. You will also discuss the framework and its different versions.
The course also includes projects you can work with and five assessments to evaluate your gains on each topic. You should complete the course and avail your certificate with the attached materials for reference.
What You Will Learn
- Map Reduce
- HDFS
- YARN
- Hive
- Apache Hadoop
- Pyspark
16. Python For Machine Learning
- Level: Beginner
- Available on: Great Learning
You can secure a score by taking this course in the leading technology domains. This course focuses on the elements and features available in Python programming for Machine Learning tasks, with few demonstrated samples.
It begins with an introduction to the NumPy library and continues helping you understand its arrays, intersection, differences, loading, and saving as you reach the half part. The second part engages you by covering Pandas library and its objects, data frames, and functions.
What You Will Learn
- NumPy
- Pandas
- Matplotlib
17. Analyzing And Visualizing Data With Excel
- Level: Beginner to Intermediate
- Available on: edx via Microsoft
Excel is the most widely used solution for analyzing and visualizing data. It includes tools to analyze more data, improved visualizations, and more sophisticated business logic. This course will introduce you to the latest version of these tools from an expert team at Microsoft.
You will learn how to import data from different sources, create mashups between data sources, and prepare data for analysis. You can also see how the data is visualized and shared with the Power BI cloud service to be used in dashboards.
What You Will Learn
- Gather and Transform Data from multiple sources
- Discover and combine data in mashups
- Learn about data model creation
- Explore, analyze, and visualize data
18. Data Analysis By Khan Academy
- Level: Beginner
- Available on: Khan Academy
This course introduces the concept of data analytics and big data and how to organize data sets in files, spreadsheets, and databases. You will also learn to compare statistics like average and maximum and identify trends and correlations of various data.
You will discover how big datas may enhance various algorithms, including translation, picture recognition, and recommendation systems. It is a self-paced course where you can put what you learned and prepare for exams into practice with the practice questions.
What You Will Learn
- Data Tools
- Big Data
- Bias In Machine Learning
19. Intro To Data Analysis By Udacity
- Level: Intermediate
- Available on: Udacity
This course is an ideal option if you want to make a breakthrough in data science and analytics in business. You will understand the methods for evaluating sizable datasets throughout the classes. You will also learn to raise pertinent issues and render crucial judgments.
It will help you gain practical experience working with several Python libraries, including NumPy, Pandas, and Matplotib. It is helpful as a starting point for reviewing the entire data analytics process. Understanding the differences between each phase of the process and how they relate to one another is crucial before diving into each one.
What You Will Learn
- Data Analysis Process
- NumPy and Pandas for 1D Data
- NumPy and Pandas for 2D Data
- Investigate a Dataset
20. Learning Data Analytics: 1 Foundations
- Level: Beginner
- Available on: Linkedin
In this course, you will learn about the foundational concepts related to Data Analytics, such as how to think about data, how to work with others to get data, and the tools you need to work with data, such as Excel and Microsoft Access.
You will learn about SQL queries, Power BI, and many more and the methods to interpret the data you see, find, and clean for effective data work. This course teaches how to work with data, including importing and creating datasets for others.
What You Will Learn
- Foundational Concepts and Tools Regarding Data Analytics
- Data Analysis
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