As the demand for data skills has grown, so has the popularity of data analysis courses with certification.
Going for any of the best data analysis online courses on any of the learning platforms will allow you learn essential programming languages like Python, R, and SQL.
Also, you’ll gain practical experience with getting data, analyzing data, visualization of data, analytical statistics, and analytics that predicts the future.
This article provides a list of best Data analysis courses with certifications. With any of these online certifications, you can start your journey to becoming an exceptional data analyst.
What is Data Analysis, and how does it work?
From an aerial perspective, data analytics is the process of extracting valuable insights from raw data through scrutiny. Your business information, product innovations, market trends, and so on are examples of such insights.
Data analytics is like putting together a jigsaw puzzle. The first task is to collect all the puzzle pieces and accurately fit them together to create the last image.
In data analytics, you must examine data from various sources, clean it, and then transform it into information that humans can understand.
The information gathered can be structured, semi-structured, or unstructured. You can visualize the result as graphs and charts showing the analysis’s precise results. The analytical process employs several tools and frameworks.
Professionals who can assist organizations in converting raw data into meaningful information, which can then aid in business growth, are in high demand.
In data analytics, there are a variety of job roles to choose from, but becoming a data analyst is one of the most exciting. The next step is to learn how to become a data analyst. And here’s how you can do it!
Who is a Data analyst?
Large datasets are collected, processed, and analyzed by a data analyst. Every company, big or small, generates and collects data. Customer feedback, accounting, logistics, marketing research, and so on are all examples of data.
A data analyst is a specialist who uses this information to develop a variety of solutions, such as improving customer experience, pricing new products, and cutting transportation expenses, to mention a few. Data analysts are in charge of data management, modeling, and reporting.
And once you’ve figured out who a data analyst is, you’ll need to know what a data analyst’s functions and responsibilities are.
Is it worthwhile to invest in data analytics?
Yes, data analytics is a lucrative profession. Simply put, there has never been a more exciting time to work with data. Every day, 2.5 quintillion bytes of data are created, and the rate is only increasing.
As organizations’ data collecting develops in extent and sophistication, it’s unavoidable that they’ll want to make use of it, and Data Analysts are at the vanguard of this movement.
A rise matches high demand for Data Analysts in pay—even in junior jobs, many Data Analysts’ incomes are comfortably above $70,000, with senior and highly specialized roles usually exceeding $100,000.
Aside from the high demand and corresponding income, Data Analysts can collaborate and contribute to the highest levels of decision-making, leading to opportunities for advancement into more managerial positions.
Many Data Analysts also appreciate the freedom to travel, work remotely, and relocate, even globally. The nature of the work itself may or may not be a good fit for the individual, but the pay, benefits, and job stability are all significant.
Is there a Demand for Data Analysis?
Yes, there is a high demand for data analysis. Before the end of 2020, IBM expected that the number of positions for data professionals in the United States would increase by 364,000 (to 2,720,000).
Other sources support the trend of corporations investing heavily in big data; according to a recent survey by Dresner Advisory Services, enterprise prominent data usage increased from 17 percent in 2015 to 59 percent in 2018.
It’s not just tech corporations that are joining on board. Data analysis abilities can be applied in a variety of businesses.
As data analytics becomes more widely used, its applications expand; entire industries are on the verge of being entirely transformed by big data.
A recent McKinsey analysis predicted how digital analytics would revolutionize marketing, operations, and manufacturing, with the promise of data-activated, one-to-one marketing engagements.
This promise has yet to be completely realized in several industries. According to another McKinsey report, the US healthcare industry could generate more than $300 billion in value if it used big data to improve efficiency and quality.
A large retailer employing big data to its full potential could increase its operating margin by more than 60%. To put it another way, we don’t see this trend slowing anytime soon.
Is It Worth It to Take a Data Analysis Course?
Yes, a data analysis course is a good investment because it will help you develop the data skills that employers are increasingly looking for.
According to Dresner Advisory Services, data adoption in businesses has increased from 17 percent to 59 percent–and will open up more opportunities for advancement and better compensation with your current employer.
To persuade you of the importance of data analysis certifications, here are a few more reasons to enroll in a data analysis course.
What Do Data Analysts Get Paid?
The average income for a Data Analyst in the United States is $75,456, with Senior Data Analysts earning $96,852.
Making the shift from Data Analyst to Data Scientist can increase this amount even more: annual compensation in the data science sector as a whole average $100,000.
However, even Junior Data Analysts can meet that standard in some fields.
According to a recent Springboard study, Data Analysts in natural resources and mining can expect salaries north of $100,000.
In contrast, those in professional, scientific, and technical services can expect to earn an average of $90,000. The average salary in the banking and insurance industry is over $90,000, equating to almost 400,000 positions.
What are the Best Data Analysis Courses with Certification in 2022
#1. Data Analysis Masterclass (4 courses in 1)
Instructor: Data Is Good Academy
Course Duration: 16h 53m total length
Data Analysis Masterclass is one of the best data Analysis course with certification specifically designed for people interested in pursuing a career in data analysis.
During this course, you’ll get complete knowledge of Excel concepts such as Sorting, Filtering, Statistical, and text functions. Then Python fundamental concepts including Object-oriented programming, and SQL from the fundamental aspect to mastery.
Also you’ll learn and understand hoe to build interactive dashboards using Excel and Tableau. All you need to enroll is a determined mind and eagerness to learn and practice.
It is expedient to note that enrolling in this course cost about $10.76.
#2. Complete Introduction to Business Data Analysis
Instructor: Ian Littlejohn
Course Duration: 3h 41m total length
Interested in learning impactful Excel Dashboards and Data Analysis techniques? Are you a business professional who want to turn data into information? This course is ideal for you!
The Complete Introduction to Business Data Analysis shows you how to use various data analysis methodologies to transform your data into fresh knowledge and information.
The capacity to ask questions of your data is a competitive advantage that can lead to new revenue streams, better decision-making, and increased productivity.
According to a recent McKinsey Consulting research, data analysis is one of the most crucial talents required in the American economy right now.
Throughout the course, you’ll learn why the type of analysis matters and see examples of Excel-based analysis.
#3. Data Analysis & Statistics: Practical Course for Beginners
Instructor: Skill Curb
Course Duration: 5h 45m total length
Data Analysis & Statistics course is among the best data analysis courses that comes with certification.
During this 7.5 hours on-demand video course, you’ll learn how to analyze data and how to use statistics in practice.
Also, you’ll understand how to predict or explain different behaviors and events works and how to prepare data for the analysis.
Moreso, you’ll learn how to collect data, create a survey, visualize data, and tell the story through data.
Interestingly, you don’t need an experience to take this certification course. All you need is time and willingness to learn.
#4. Originlab Pro Data Analysis and Graphing Basic Course
Instructor: Bibhatsu Kuiri
Course Duration: 54m total length
If you are a student or a researcher and you need to learn to plot data, this best data analysis online course is for you.
This is one of the best data analysis courses with certification that have a lot to offer you.
In this online Data analysis course, you will gain a broader understanding of what is plotting, data analysis, graph, research data analysis, professional graph and plots.
This 1 hour on-demand video course will definitely help you to make professional-looking plots for your research work.
Note, the lectures are easy to follow, quite a small and concise course, sample data is also provided for learning so that you can practice simultaneously.
#5. The Complete Python Data Analysis and Visualization Course
Instructor: Skill Curb
Course Duration: 5h 45m total length
This data analysis course was created by SkillCurb exclusively for data scientists who are new to data analysis and visualization.
The lecturer will walk you through numerous classes in this 6-hour on-demand video online course that will teach you how to write in Python. provide you with the tools you need to learn Python and how to analyze and visualize data!
You’ll learn how to program with Python and how to use it to analyze data in conjunction with scientific computing modules and libraries.
You’ll also learn how to use Numpy and Python to generate and manipulate arrays, Pandas to create and analyze data sets, and the Matplotlib and Seaborn libraries to create stunning data visualizations.
You’ll also get hands-on experience with the KFC data set and be able to create an impressive portfolio of sample Python data analysis applications.
#6. Data Analyst Bootcamp: Complete Course to be a Data Analyst
Instructor: Temotech Learning Academy
Course Duration: 5h 45m total length
Data Analyst Bootcamp course is one of the best data analysis courses with certification on Udemy that take you through everything you need to know about SQL.
During this online data analysis course, you will learn how to use Python & SQL to analysze and visualize data. Also, this 11 hours on-demand video certification course will teach you how to use Python bs4 & Pandas to Scrape a webpage, Analyze and visualize The Scraped Data.
Additionally, you’ll understand and learn how to use Online Jupyter for Python Programming, Python IDLE and a whole lot.
All you need is your enthusiasm to learn Python & SQL For Data Analysis & Data Science, a functional computer with internet connection.
Note, you don’t need an programming experience to start this course.
#7. Introduction to Data Analysis with Microsoft Power BI
Instructor: Ian Littlejohn
Course Duration: 4h 45m total length
The course Introduction to Data Analysis with Microsoft Power BI is for all business professionals who wish to improve their capacity to transform data into information.
If you use Excel, you’ll appreciate the simple concepts covered in this course.
Throughout the course, you’ll learn why the type of analysis matters and see examples of analysis with Power BI.
You’ll learn how to use powerful analyses, methodologies, and tools to turn data into INSIGHT and INTELLIGENCE.
Furthermore, you’ll also discover 10 various DATA ANALYSIS methods that you can simply deploy in Microsoft Power BI, as well as best practices for designing and setting up INTERACTIVE dashboards.
#8. Data Analysis Essentials Using Excel
Instructor: Symon He and Travis Chow
Course Duration: 11h 58m total length
The instructors of the data analysis online course on Udemy will take you through the core conepts of data analysis in the Excel environment.
During the course, you will confidently learn how to use the most crucial Excel functions and techniques for analysis.
Also, you’ll learn how to correctly use the appropriate charts in Excel, apply analysis techniques to datasets in Excel, manipulate and prep datasets in Excel.
Furthermore, this 12 hours on-demand video course that comes with certificate will you build presentation ready dashboards in Excel, create your own formulas in Excel, and turn real world data into business insights in Excel.
#9. Statistical Data Analysis with SAS
Instructor: John zhong
Course Duration: 4h 25m total length
The Statistical Data Analysis with SAS course on Udemy is one of the top data analysis courses for students who have little or no experience with SAS and a basic understanding of statistical concepts.
The goal of this course is to provide you a thorough overview of SAS analytic software for Windows.
Students will get experience utilizing the SAS system for data manipulation, administration, and analysis through a combination of lectures, in-class examples, quizzes, and take-home assignments.
With plenty of examples and quizzes, you’ll master step-by-step statistical analysis from descriptive statistics through hypothesis testing and linear regression, as well as how to complete a task using various SAS approaches.
This will be an ideal pick for your first SAS introduction course as a data analyst.
#10. Web Scraper or Data Scraping For Beginners to Data Analysis
Instructor: Sirinivas Muralidharan
Course Duration: 51m total length
Are you a Data Analyst , Data miner or Web analyst or web miner who wants to learn tech? This data analysis course on Udemy is for you!
This course is for those who wants to learn Data or Web scraping and who is keen at experimenting web crawling.
It is primarily intended for beginners and those with an interest in the field of data analysis.
During this course, you will learn to scrape data and store it locally or globally to access the data sets whenever needed.
At the end of the course you will learn the ways to implement web crawling without any problems.