There has never been a better time to add data analytics to your skill set. This blog post on professional data analytics certification courses will get you started.
Human beings generate up to 2 and a half quintillion bits of data daily, and it is not a hyperbole that our modern society relies on data. The probability of this information above declining is very low.
Organizations and individuals collect these data in raw form. The raw data collected doesn’t mean anything. It needs to be cleaned and extracted to become a valuable tool for information.
This is where data analytics comes in. The insights from Data Analytics are used to make data-driven and intelligent decisions regarding business and other related matters.
This means that a data analyst collects raw information and converts it from incomprehensible numbers to coherent, intelligent information.
With the information from the processed data, businesses and organizations can develop a much deeper understanding of how their business works, their audience, and the whole company. This understanding helps them make better decisions.
Data analysis and Data analytics are related terms that can be used interchangeably. This doesn’t mean they are the same. Data analysis is a subset of data analytics. We have written articles on free online data analysis courses for beginners and free online courses on data science.
Before we proceed, we need to understand data analytics, which leads to the next big question.
What is Data Analytics?
Data analytics is the process of examining raw data to find new trends or information. It is a systematic computational analysis of data or statistics.
Organizations apply data analytics to business data to predict business performance.
Data Analytics applies to various fields of life, such as marketing, management, finance, online systems, information security, and software services.
Data analytics is a multidisciplinary field that extensively uses mathematics, statistics, and computer skills to extract relevant knowledge from data.
It is worth noting that we have published articles on the best schools to study computer science, as well as mathematics and statistics.
What do Data Analysts do?
Data analysts are IT professionals who collect, clean, and interpret data sets to answer questions or solve problems.
A data analyst can work in various companies in business, crime, finance, government, medicine, or science.
A data analyst is supposed to answer questions such as determining a particular business’s target audience and other related questions.
How to Become a Professional Data Analyst
You can become a professional Data Analyst by doing the following.
- You must earn a bachelor’s degree in any field, with an emphasis on statistical and analytical skills, such as mathematics and statistics.
- Learn important Analytics skills.
- Get Certifications
- Get your first entry-level data analyst job
- Lastly, earn a master’s degree in data analytics
How do I Get Certified in Data Analytics?
To get certified in data analytics you need not only the knowledge of data analytics and its fundamentals but the knowledge of different skill sets that will give you an edge above others in the same field as you.
Professional Data Analytics Certification Courses
- Data Camp
- Introduction to Data Analytics for Business
- Data Analyst Associate Certification by Microsoft
- Certification of Professional Achievement in Data Sciences (by Columbia University)
- CCA Data Analyst
- IBM Data Science Professional Certificate
- Google Data Analytics Certificate
- Certified Analytics Professional (CAP)
- IBM Data Analyst Professional Certificate
- BrainStation Data Analytics Certificate
1. Data Camp
Data camp is one of the most diverse and comprehensive programs that is rated as the number one program that offers professional data analytics certification courses.
There are hundreds of certifications available on the site. It is available on all platforms for learning anything related to data. No matter the field you are in, as far as it’s related to data, DataCamp has a course for you.
The duration of their courses is self-paced and you can learn at your comfort and time. Also, basic membership is free but the class course costs $25 yearly.
2. Introduction to Data Analytics for Business
This course is perfect for beginners and entry-level professionals. It is offered by The University of Colorado Boulder through Coursera.
By the end of the course, you would have learned Data modeling, Data quality Analysis, SQL, and Business intelligence principles and how to use them and make business decisions.
The course has four modules and the duration is 12 hours. The enrollment is 100 percent free but to get certified, you’ll pay $39 on Coursera. It is one of the best-rated professional data analytics certification courses.
3. Data Analyst Associate Certification by Microsoft
This course is perfect for intermediates who have some experience in data analytics.
Microsoft is very important in data analytics, and it is the basic skill to learn in this course, which has a total of 6 courses and 16 modules.
The cost of the certification varies from country to country. The duration of the course is self-paced, and you can write the exams without attending the classes. It is one of the best professional data analytics certification courses.
4. Online Line Manager Training Course
This training as an Online Line Manager Training Course enhances leadership and management skills, which are crucial for effective team management and data-driven decision-making. The course covers communication, team dynamics, and performance management, providing practical insights into data analytics for strategic planning.
5. Certification of Professional Achievement in Data Sciences (by Columbia University)
This is a beginner course Offered by Columbia University’s Data Science Institute (in collaboration with The Fu Foundation School of Engineering and Applied Sciences and the Graduate School of Arts and Sciences).
It is a non-degree and part-time program that focuses on building students’ careers in data analytics.
The course is 12 hours long and has four modules. It is one of the best professional data analytics certification courses.
It is the most expensive course on the list, costing approximately $31,000, including tuition and university technology fees. You can apply from anywhere in the world.
6. CCA Data Analyst
Cloudera offers this certification course for existing SQL developers, business intelligence analysts, data analysts, database administrators, and system architects who want to demonstrate their competency in Cloudera’s CDH using Hive and Impala.
The Certification costs $295, and the duration is self-paced. You can decide to take either the Certification exams or take the course on the Cloudera On-Demand Courses or Both.
It is one of the best professional data analytics certification courses available.
7. IBM Data Science Professional Certificate
This course is perfect for beginners who want a comprehensive education in Data Science.
IBM offers this course through Coursera. It teaches you how to kick-start your career in data analytics.
The course has nine modules: machine learning, predictive modelling/predictive analytics, data visualization, and programming languages, including Python and SQL.
As one of the best professional data analytics certification courses available, enrollment is free, but you’ll need to pay $39 on Coursera monthly to continue and get your certificate.
8. Google Data Analytics Certificate
This course is available for beginners with no prior data analytics experience and want to become certified in the field.
As one of the best professional data analytics certification courses available, It was introduced to the world of data analytics through a curriculum by Google.
You’ll learn about Data types and structures, Using data to solve problems, How to analyze data, Data storytelling with visualizations, Using R programming to supercharge your analysis, and other related programs.
9. Certified Analytics Professional (CAP)
This is an advanced level Certificate Course for people who already have hands-on experience and knowledge in data analytics.
As one of the best professional data analytics certification courses, It is a valuable platform for business owners to identify, recruit and retain top-notch talents in data Analytics. It also gives you an edge over other professionals in the field of data analytics.
10. IBM Data Analyst Professional Certificate
With over 50,000 students enrolled already, this course unlocks your potential in data analytics.
Students learn to demonstrate proficiency using Excel Spreadsheet to perform a variety of data analysis tasks, create Various chats and plots on Excel, develop the working knowledge of python programming to analyze data and so many other things.
The course has 9 modules and enrollment is free. But you’ll have to pay a fee to get certified for the course. It is one of the best professional data analytics certification courses.
11. Brain Station Data Analytics Certificate
This course is available for people who don’t want to commit to long-term intensive learning. The course teaches all the fundamental principles of data analytics and how to apply them in your job description with emphasis on building and managing databases, identifying trends in data, and visualizing and presenting insights.
To earn a certification, you must complete a program of your choice. The duration of the course is 10 weeks. You can schedule the class accordingly. It is one of the best professional data analytics certification courses.
In this post, we have covered the ten best professional data analytics Certification courses available. We hope you found something that fits your budget and learning requirements. If you’re keen to learn more, check out our website at Study Abroad Nations for more information.
Professional Data Analytics Certification Courses – FAQs
How much does it cost to learn data analytics?
Learning data analytics costs between 70,000 and 180,000. The price depends on the particular course you want to take, the modules, whether beginner or advanced, and the website offering the course.
Is data analytics a good career?
Yes, data analytics is an outstanding career. There has not been a better time to be an IT professional. Besides, the high demand for data analyst gas caused a salary increase.
Is coding required for data analytics?
Yes, coding is required for data analytics.
What tools does a data analyst use?
The following skills are required:
- Data Visualization
- Data Cleaning
- MATLAB
- R
- Python
- SQL and NoSQL
- Machine Learning
- Linear Algebra and Calculus
- Microsoft Excel
- Critical Thinking
- Communication
- Statistical analysis
- Decision making
- Data engineering
- Predictive modeling
Which certifications are best for data analytics?
- Google Data Analytics Professional Certificate
- IBM Data Analyst Professional Certificate
- IBM Machine Learning Professional Certificate
- IBM Data Engineering Professional Certificate
- Data Science with Python Certification Training
- Data Science Certification Training – R Programming courses
- Business Analytics Certification Training with Excel.
- Associate Certified Analytics Professional (ACAP)
- Certification of Professional Achievement in Data Sciences
- Certified Analytics Professional
- Cloudera Data Platform Generalist
- EMC Proven Professional Data Scientist Associate (EMCDSA)
- IBM Data Science Professional Certificate
- Microsoft Certified Azure Data Scientist Associate
- Microsoft Certified Data Analyst Associate
- Open Certified Data Scientist
- SAS Certified Advanced Analytics Professional Using SAS 9
- SAS Certified Data Scientist
How much do data analysts earn?
A data analyst can earn up to 70,000 Naira to 400,000 Naira on monthly basis. This depends on the job description and the company involved.
Is data analytics difficult?
Data analysts rely on skills like programming in python or R, querying databases with SQL, and performing statistical analysis. Although these skills seem challenging, they can be learned.
When you have these skills at your fingertips, data analytics becomes much easier to work with.
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