10 Best Data Analytics Certifications Online

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Best Data Analytics Certifications Online
Best Data Analytics Certifications Online

There are a lot of data analytics certifications online but sometimes it’s really hard to identify some of the best out of all these online data analytics certifications.

Data analytics is one of the fastest-growing and most in-demand industries today. Market research firm Gartner projects that business spending on data and analytics solutions will reach $189 billion in 2022, up from $150 billion in 2019.

By 2025, the global big data market is expected to be worth $103 billion.

The growing demand for data science professionals means more people than ever are taking online data analytics courses. As an added benefit, many of these courses offer a certificate or credential to help you stand out.

If you’re considering taking a certification course, we have you covered. We have compiled a list of the 20 best data analytics certifications online to help you get started. But before that, let’s ensure we are on the same page.

What is Data Analytics?

The processing and statistical analysis of existing datasets is the subject of data analytics. Analysts focus on developing ways for capturing, processing, and organizing data in order to unearth actionable insights for current issues, as well as determining the best manner to communicate this information.

Simply said, data and analytics are concerned with finding solutions to challenges for which we are unsure of the answers. It’s also predicated on delivering results that can result in quick benefits.

Data analytics also includes a few other branches of larger statistics and analysis that aid in the combination of disparate data sources and the discovery of linkages while simplifying the results.

Benefits of Data Analytics

Big data analytics has several benefits for businesses today.

Data Analytics helps in:

  • Better decision making,
  • Enables effective risk management,
  • Improves customer experience, and
  • Increases brand value.

In view of these advantages, there is a growing demand for skilled professionals in the field of data analytics.

These professionals are expected to possess not only theoretical knowledge but also practical know-how about big data analytics.

To ensure this, employers are looking for candidates who have undergone training or certification courses that provide practical exposure to the subject matter.

In addition to being able to analyze the data, these professionals should also be able to create informative visualizations of that data so that non-technical users can understand it as well. This is where tools such as Tableau come into play. These tools allow you to create interactive charts, graphs, graphs, and tables that tell a story about your organization’s performance based on its key performance indicators (KPIs).

Data Analytics Versus Data science

Data Science and Data Analytics both deal with Big Data, but in different ways. Data Science is a broad term that incorporates both data analytics and data science.

Mathematics, Statistics, Computer Science, Information Science, Machine Learning, and Artificial Intelligence are all included in Data Science.

Data mining, data inference, predictive modeling, and machine learning algorithm development are all used to discover patterns from large datasets and turn them into meaningful business strategies. Data analytics, on the other hand, is mostly concerned with Statistics, Mathematics, and Statistical Analysis.

Data Analytics is aimed to reveal the particular extracted insights, whereas Data Science focuses on uncovering significant correlations between vast datasets.

To put it another way, Data Analytics is a subset of Data Science that focuses on more detailed solutions to the issues that Data Science raises.

Data Science aims to find fresh and interesting issues that might help businesses innovate. Data analysis, on the other hand, aims to find answers to these questions and determine how they can be implemented within a company to encourage data-driven innovation.

List of the Best Data Analytics Certifications Online

Below is a list of the best online Data Analytics Certifications:

10 Best data analytics certifications online

1. SAS Advanced Analytics Professional Certification

This is a top-level data science certification offered by the SAS Academy for Data Science, and it covers a wide range of topics like statistics, visual analytics, logistic regression, Hadoop foundations, data mining, and more.

Students must have at least six months of programming experience before applying for the certification, which consists of nine courses and three tests.

Because of the platform’s legitimacy and extensive coverage of so many data science topics, many consider this to be the greatest certification for data science.

2. SAS Certified Data Curation Professional

To suit varied participant learning styles, the SAS Big Data Certification offers both instructor-led training and self-paced e-Learning modes of learning.

Before enrolling, students should have a strong understanding of programming, including data manipulation techniques and SQL.

Data management tools and Hadoop are among the topics covered. There are four training courses and only one exam in this package.

The Data Curation certificate, like other SAS certifications, is a subscription-based service that gives you access to the cloud for a year before you have to renew it.

3. DASCA: Senior Data Scientist

The Data Science Council of America, or DASCA, is the leading source of internationally recognized data science certificates. Its SDS (Senior Data Scientist) and PDS (Principal Data Scientist) credentials are among the most prestigious in the world for data scientists. Check out how to become a data scientist with a bachelor’s degree.

Candidates from a variety of disciplines, including business management, finance, statistics, and technology, can take advantage of the vendor-neutral data science certification institution’s extensive, in-depth certification programs.

4. Microsoft Certified: Azure Data Scientist Associate

Do you want to understand how to create and run machine learning workloads? The Azure Data Scientist Associate certification from Microsoft is the one for you.

The best part about this Microsoft certification is that you can study for it for free using Microsoft’s learning tools, however, there are also premium, instructor-led options available. The certification includes AI solutions, natural language processing, and machine learning.

5. IBM Data Science Professional Certificate

The IBM Data Science Professional Certificate is another useful online data credential. Candidates wishing to start their professional data science careers might consider the beginner-level data science certification program.

The certification includes an introduction to data science with machine learning, python, open-source tools, and SQL over the course of nine courses.

Their courses can be completed on your own time, while the course developers recommend completing them in three months.

6. HarvardX’s Data Science Professional Certificate

HarvardX offers a variety of online courses designed to help professors improve teaching and learning through on-campus and online modes.

With HarvardX’s Data Science Professional Certificate, you’ll learn data science basics like R and machine learning through real-world case studies.

The HarvardX data science certification gives applicants the information and abilities they need to solve real-world data analysis challenges.

The nine courses that make up the professional data science certification cover topics including visualization, machine learning, linear regression, probability, data wrangling, and more.

7. Coursera: Data Science Specialization by John Hopkins University

This Coursera certificate, offered by John Hopkins University, is ideal for novices who wish to learn how to construct a data product, generate data-driven conclusions, and practice machine learning.

Before joining, students should have a basic familiarity with Python.

Courses are free, but individuals who want to get certified may have to pay a little charge, as most Coursera certifications start at $50.

8. EdX Big Data MicroMasters program

This course is part of the Big Data MicroMasters program and will help you improve your programming and mathematics skills while learning about big data analytics.

In this course, you will learn how to store, handle, and analyze data in order to make better business decisions in today’s digital world.

You’ll learn how to use technologies like Apache Spark and R, which are vital analytic tools. You will be able to approach large-scale data science challenges with creativity and initiative by the end of this course.

9. Udacity Business Analytics Nanodegree

You’ll master fundamental data skills that may be applied across functions and industries in this program. You’ll learn how to use Excel to analyze data and build models, SQL to query databases, and Tableau to create informative data visualizations.

There are no prerequisites for this basic curriculum.

Udacity recommended that you have prior computer expertise and be able to download and install the software in order to succeed.

10. DataCamp Data Analysis in Excel

In this course, you’ll learn how to utilize time-saving keyboard shortcuts, convert and clean data formats such as text, times, and dates, and create amazing logic functions and conditional aggregations while learning how to use time-saving keyboard shortcuts.

You’ll master over 35 new Excel functions, including CONCATENATE, VLOOKUP, and AVERAGEIF(S), as well as work with real-world Kickstarter data to assess what makes a successful project, through hands-on practice.

Frequently Asked Questions about Online Data Analytics Online Certificate

What is the value of a Data Analytics certificate?

A Data Analytics certificate Is worthwhile, Yes! if you're seeking a job in data analytics. A data analytics certification will provide you with all of the necessary skills and knowledge to earn a job as a data analyst.

Is it possible for a data analyst to work on a freelance basis?

Freelancing is one of the best alternatives for data scientists today, for both newbies and experts. As a data science freelancer, you have a lot of flexibility in terms of project selection, time management, and pay. It's also a terrific option for beginners who want to gain more hands-on experience by working on real-world projects.

Is Data Analytics a promising career path?

Yes, data analytics is a smart career choice because data has become an important aspect of any industry's decision-making process. As a result, data analysts are in high demand, making them one of the top job choices.

Is there a need for coding in data analytics?

They don't, to be honest. Data analysts aren't required to code as part of their day-to-day responsibilities. Simple data analysis functions, such as examining Google Analytics data trends, don't usually necessitate creating code.

What role does SQL play in data analysis?

SQL is the 'meat and potatoes' of data analysis for many people—used to access, clean, and analyze data contained in databases. It's simple to understand, but it's used by the world's top corporations to tackle extremely difficult problems.

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Conclusion

Data analytics was the biggest skill gap two years ago, and it continues to be.

Businesses have been collecting data for decades, but many do not know how to use that data to make better business decisions.

As a result, companies are looking for individuals who can analyze and interpret that data. Businesses need people who can understand the data and translate it into an understandable format for management in order for them to make better business decisions. Individuals with these data analytics skills might be called data analysts or business intelligence (BI) analysts.