Nowadays, there is a high demand for Data Analytics in the current IT industry. To become a data analytics expert, this article gives a list of the best Data Analytics Courses. Data analytics deals with gathering and analyzing data and applying various techniques to convert the same into meaningful information usable for decision-making and enhancing productivity.
Data science and Data Analytics are among the top career avenues in the 21st century. In the present data-savvy world, the possibilities of data analytics are immense. With the right knowledge and skills, you can grab lucrative work opportunities.
Best Data Analytics Courses
No matter if you already have some prior data analytics experience or looking to jump into the scene, here are 10 top data analytics courses online trending now:
Beginner Level Courses
Let us see below some good data analysis courses for beginners.
1. Tableau 2024 A-Z: Hands-On Tableau Training For Data Science
Type: Online course
Level: Beginner
Rating: 4.6
Duration: 8.5 hours
Completion Certificate: Provided
The course teaches data visualization using tableau 2024, allowing you to explore, fix, purpose, experiment with, and present data quickly. The course introduces tableau basics, navigate the software, connecting to data files, and exploring a worksheet, thus making it engaging.
Every module in this course is independent of each other and so can be studied in any manner. You will also come across new data sets and challenging exercises to learn by the immediate application. The course would create opportunities for the candidates to discover data patterns such as sales trends, customer purchase behavior, and decision-making.
Topic Covered
- Tableau 2024 installation
- Create
- Barcharts
- Maps
- Pie charts
- Interactive Dashboards
- Table Calculations
- Dual Axis Charts
- Calculated fields in a Blend
- Area Charts
- Scatterplots
- Treemaps
- Storylines
2. Exploratory Data Analysis in SQL
Type: Online course
Level: Beginner
Rating: 4.3
Duration: 4 hours
Completion Certificate: Provided
This short course from DataCamp course is ideal for getting an introduction to exploratory data analysis (EDA) in SQL, making it a perfect starting point if you already have database and SQL skills, but you want to make the leap to a data analytics role.
The clue is of course in the name, as it's all about analyzing and exploring data within SQL databases. This means you'll need basic SQL knowledge, but if you pass that entry point, you'll be able to enhance your ability to work with various data types, not to mention aggregating and and summarizing data.
I also like that this course uses practical examples from diverse sources like Stack Overflow and Fortune 500 data, encouraging hands-on learning.
Topic Covered
- Table sizes
- Missing values
- Joins
- Foreign keys
- Numerical data types
- Division
- Summary statistics
- Character data types
- Transformations
- Date arithmetic
- Aggregation
3. SQL - MySQL for Data Analytics and Business Intelligence
Type: Online course
Level: Beginner
Rating: 4.6
Duration: 9.5 hours
Completion Certificate: Provided
In the age of big data and analytics, database management plays a crucial role, and therefore, one must learn SQL for data analytics for a lucrative career as a data analyst.
The trained candidates can send data and execute queries without relying on others. They can further dig deeper and study the data to obtain the answers that might improve the way of doing business. The course teaches you step by step from the basics, and so it is easy to understand. It also teaches you to work with real-life databases through practical examples. The course outcome would be to be well-versed in database management skills and develop analytical reasoning to give business insights.
Topic Covered
- Code in SQL
- Create, Design, and operate in SQL databases.
- Learn to create databases from scratch.
- Proficiency in SQL Workbench.
- SQL Triggers
- SQL Sequences
- Local and Global Variables
- Indexes
- SQL joins and More
4. Beginner Statistics for Data Analytics - Learn the Easy Way!
Type: Online course
Level: Beginner
Rating: 4.5
Duration: 3 hours
Completion Certificate: Provided
Don’t have a background in statistics but have a huge fascination for the field? Then you might want to take up this Udemy course that imparts the basics of statistics and regression analysis to enrolled students easily and interestingly.
The course has 3 hours of on-demand video and three downloadable resources. Moreover, you get lifetime access to the course and access it via mobile and TV. By the end of the course, you will be able to formulate better and accurate data-driven decisions.
The entire course is delivered in 42 lectures. Although the sequence mentioned in the class is preferred for the lectures, you are free to choose the way you wish to traverse through the video lessons.
Topics Covered
- Coefficient of variation
- Correlation and causation
- Creating and understanding a regression
- Fundamentals of statistics
- Inferential statistics: probability distribution, normal distribution, Central Limit theorem, estimates, and confidence interval estimate
- Introduction to regression analysis
- Introduction to standard deviation and variance
- Mean, median, and mode
- Understanding and creating histograms
5. Beginner’s Guide to Data & Data Analytics by SF Data School
Type: Online course
Level: Beginner
Rating: 4.4
Duration: 1.5 hours
Completion Certificate: Provided
Starting data analytics from ground zero? Offered by the popular online learning platform Udemy, the data analytics course is a brief yet comprehensive beginner package.
The beginner-friendly data analytics course is created by Colby Schrauth and Serge LeBlanc, both of whom are co-founders of the SF Data School. As there are no prerequisites demanded by the class, anyone with a genuine interest in data can instantly start.
The course features 1.5 hours of on-demand video. It is divided into nine lectures that deal with various aspects of data analytics. An additional article is available with the course to reinforce learning. If you want to learn about data but don’t know where to start, go for this course.
Topics Covered
- Classification of data analytics tools
- Data pipelines
- Data types, files, and formats
- Introduction to data
- Key data analytics concepts and terminology
- Roles and skills of data professionals
- The data analytics “Tool Triangle.”
6. Complete Data Analysis Course with Pandas & NumPy: Python
Type: Online course
Level: Beginner
Rating: 4.2
Duration: 17 hours
Completion Certificate: Provided
The course is a best-seller at Udemy. It is ideal for anyone looking to kick start their career in the lucrative world of data science. The course details various data analysis concepts using two of the most popular Python data science libraries, NumPy and Pandas.
While the Pandas library is meant for carrying out real-world data analysis using Python, NumPy specializes in machine learning tasks. The course is also the go-to option for any beginner Python developer with a deep interest in data analytics or data science.
The complete course is delivered in 99 video lectures. The total run time for them is almost 11-and-a-half hours. To help learners build a robust understanding of working with the two popular data science libraries, an additional nine articles and 11 downloadable resources are also available.
Topics Covered
- A crash course in Python
- Data cleaning
- Data grouping
- Data visualization with Pandas
- Import and export data from Pandas
- Installing and setting up Python
- Introduction to data analysis
- Introduction to the data frame
- Introduction to Pandas and NumPy
- Introduction to series
- Working with text data
That ends our recommended data analysis courses for beginners. Let us now see some good data analytics courses for intermediate level developers and professionals.
Intermediate Level Courses
7. Introduction to Data Analytics for Business
Type: Online course
Level: Intermediate
Rating: 4.7
Duration: 11 hours
Completion Certificate: Provided
The course offered by Coursera educates learners about the numerous data analytics practices concerned with business management and development. The course focuses on the analytical process, data creation, storage and access, and how organizations work with data.
At a suggested 5-hour workweek, the course will require about four weeks to complete. As of now, over 26.3k students have enrolled for the course.
If you are looking to build a strong foundation in data analytics to gain a better working position, then the Introduction to Data Analytics for Business course is a perfect fit for you. The data analytics course also provides a basis for advanced investigative and computational methods.
Topics Covered
- Analytical organizations: roles and structures
- Aggregating and sorting data in SQL
- Big data & the cloud
- Conceptual business models
- Data analytics tools
- Data captured by source systems
- Data extraction using SQL
- Data governance, privacy, and quality
- Data storage and databases
- Extending SQL queries using operators
- Introduction to SQL
- The Information-Action Value Chain
- The relational database
- Virtualization, Federation, and In-Memory Computing
8. Microsoft Excel - Advanced Excel Formulas & Functions
Type: Online course
Level: Intermediate
Rating: 4.6
Duration: 8 hours
Completion Certificate: Provided
The course would provide you with a deep understanding of advanced excel formulas and functions to transform Excel from a basic spreadsheet program into a powerful analytics tool. The course would also implement practical implementation by exercising contextual examples designed to showcase the formulas and how they can be applied in various ways. By the end of the course, you will be trained to build dynamic tools and excel dashboards to filter, display, and analyze data. You will also be eligible to automate tedious and time-consuming tasks using cell formulas & functions in excel.
Topics Covered
- Lookup/Reference functions
- Statistical functions
- Formula-based formatting
- Date & Time functions
- Logical operators
- Array formulas
- Text functions
- INDIRECT & HYPERLINK
- Web scraping with WEBSERVICE & FILTERXML
9. Data Analysis with Pandas and Python
Type: Online course
Level: Intermediate
Rating: 4.6
Duration: 20.5 hours
Completion Certificate: Provided
The course introduces a popular pandas library, built-in Python Programming Language. A library is a powerhouse tool that allows us to analyze, organize, sort, filter, aggregate, mung, clean, calculate, and collect colossal data sets. In this course, you will be explained everything step by step through the panda library, beginning from installation to visualization. The course offers tons of data sets to demonstrate this package's incredible versatility and efficiency for a better learning experience. It covers hundreds of methods, attributes, features & Functionalities that the library consists of. The course is beneficial for budding data analytics or experienced users.
Topics Covered
- installing
- sorting
- filtering
- grouping
- aggregating
- de-duplicating
- pivoting
- munging
- deleting
- merging
- visualizing
10. R Level 1 - Data Analytics with R
Type: Online course
Level: Intermediate
Rating: 4.5
Duration: 7.5 hours
Completion Certificate: Provided
There are more than a few good reasons to use R for data science projects, such as secure management and robust infrastructure. The course is meant to help learners study and pick up the pace with the R programming language for accomplishing various types of data analytics tasks.
The course is appropriate for anyone with a keen interest in statistical programming. For beginning with the data analytics course, one needs to have a basic understanding of data structure and statistics along with R and RStudio installed on the system.
In addition to 7.5 hours of on-demand video, the course offers four articles and 16 downloadable resources to facilitate learning further. By the end of the course, learners will be able to develop fluency in R for accomplishing most types of data analytics tasks.
Topics Covered
- Creating objects
- Data types
- Functions in R
- Graphs in R
- Introduction to the R programming language
- Looping
- Using the R Commander GUI
- Working with strings
11. Advanced Business Analytics Specialization
Type: Specialization
Level: Intermediate
Rating: 4.4
Duration: 5 months 3hours/week
Completion Certificate: Provided
The course educates enrolled students about leveraging data for solving complex business problems. The course is aimed to develop practical business analytics skills in the learners. As this is an advanced-level data analytics course, data analytics experience is mandatory to get started with the same.
At the suggested 6-hour workweek, the course will take approximately four months to complete. In addition to making enrolled students better at data analytics, the course also dives into data visualization, mathematical optimization, and SQL.
To facilitate learning for non-English learners, the data analytics specialization is offered by Coursera. A team of 3 instructors will deliver the entire course to the learners. Upon successful completion, a certificate of completion testifying the learner’s efforts will be offered.
Courses Covered
- Introduction to Data Analytics for Business (Course 1)
- Predictive Modeling and Analytics (Course 2)
- Business Analytics for Decision Making (Course 3)
- Communicating Business Analytics Results (Course 4)
- Advanced Business Analytics Capstone (Course 5)
Bonus Courses
12. Data Analytics for Lean Six Sigma
Type: Online course
Level: Beginner
Rating: 4.8
Duration: 11 hours
Completion Certificate: Provided
Lean Six Sigma is a method that involves collaborative team effort for improving performance by reducing variation and systematically removing waste. The course details various data analytic techniques useful for Lean Six Sigma improvement projects.
At the end of the course, the learners will analyze and interpret data collected from a Lean Six Sigma improvement project. Students interested in enrolling in the data analytics course need to spare about 15 hours.
The course instructor is Inez Zwetsloot, an academic researcher and business consultant with a Ph.D. in industrial statistics. The course describes Minitab's statistics and a popular statistics package and explains Lean Six Sigma and various data analytics techniques.
Topics Covered
- Data and DMAIC
- Descriptive statistics
- Hypothesis testing and Causality
- Introduction to ANOVA
- Introduction to data analytics for lean six sigma
- Introduction to lean six sigma
- Introduction to Minitab: installing and loading data
- Kruskal-Wallis test
- Normal, lognormal, and Weibull distribution
- Organizing data
- Pareto analysis
- Population vs. sampling
- Probability plot and empirical CDF
- Selecting CTQs
- Visualizing numerical and categorical data
13. Health Information Literacy for Data Analytics Specialization
Type: Specialization
Level: Intermediate
Rating: 4.5
Duration: 4months 3hours/week
Completion Certificate: Provided
The healthcare industry is experiencing a boom. The specialization focuses on data professionals looking to make an industry switch with no previous healthcare experience. First, the course requires learners to have at least two years of experience as a data analyst or technology professional.
One of the significant features of the data analytics course offered by Coursera is a flexible schedule. At a 4-hour workweek, you will complete the specialization in only four months. With the data analytics-healthcare course, you will learn how to analyze the various types and sources of healthcare data, such as clinical and patient-generated data.
Upon completing the specialization, learners will use the acquired data analytics skills in healthcare scenarios. The course includes a hands-on project that will ensure you make the most out of the data analytics course.
Courses Covered
- Healthcare Data Literacy (Course 1)
- Healthcare Data Models (Course 2)
- Healthcare Data Quality and Governance (Course 3)
- Analytical Solutions to Common Healthcare Problems (Course 4)
Recommended Tutorial
14. Become a Data Analyst: Nanodegree Program by Udacity
Type: Online degree
Prerequisites: Python and SQL
Duration: 4months, 10hours/week
Completion Certificate: Provided with a Nanodegree
The four-month nano-degree program offered by Udacity, in collaboration with Kaggle, advances your programming skills and refines one’s ability to work with messy, complex, and unstructured datasets. The tutorial teaches you to manipulate and prepare for analysis and to create visualizations for data exploration. Finally, you would learn storytelling with data using your data skills.
Topics Covered
- Introduction to Data Analytics
- Data Analytics visualization with Python
- Practical Statistics
- Data Wrangling
The course offers various perks such as:
- Real-world project from industry experts
- Technical Mentor Support
- Personal Career Course and Career Services
- Flexible Learning program
Conclusion
That completes our pick of the ten best data analytics courses online. You need to ensure brushing up your data analytics skills to rise in the ranks of success continuously.
I hope these top 10 data analytics courses will help you move further in your professional career and make you better at data analytics than before.
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