Top Data Science Certification Courses in 2022

Putting it simply, data science is a field that consists of the extraction of structured information from raw data. It is an amalgamation of mathematics, business acumen, tools, algorithms, and machine learning techniques, that assist in figuring out the hidden and unknown patterns in raw data. 

In a paper produced by William S. Cleveland in the year 2001, he favored the extension of statistics to technical areas. That’s where data science gained recognition as an independent discipline. However, it took some years to be widely known. 

But, what is the need to study data science? The answer is pretty simple. To give a boost to your company, you need to make data-based decisions. Using data and applying them to your advantage can lead to the exponential growth of your company.

Hence, we have come up with 5 of the best data science courses that’ll help you reach your target goal in the most efficient way possible.

5 Data Science Certification You Can Go for Today

The importance of data in the commercial world is reaching heights, without a downward trend. It will not be an exaggeration to say that you could save a large amount of capital only if you know how to find and apply data to your advantage, just like Southwest Airlines did.  

Below are 5 data science certification courses that you can enroll yourself in, and learn the heights and depths of data science. 

IBM Data Science Professional Certificate

With the IBM data science certification course, you will learn how to analyze and interpret data, and make fruitful decisions for your enterprise. The course has been introduced by IBM and is delivered by two platforms- Coursera and edX. 

There are no specific prerequisites for this course except that a basic understanding of statistics and any programming language is required.

IBM data science professional certificate program contains 9 courses that talk about the following topics in detail:

Introduction to data science.Data science toolsData science methodology, practices, and requirementsPython programmingSQL languageData analysis with PythonVisualization with PythonIntroduction to machine learningData science and machine learning capstone project

Key outcomes

After the completion of the course, you will gain expertise in:

Data Analysis & Visualisation,Work with RDBMS MLDeep LearningData Forecasting, Predictive ModellingNLP

Applied Data Science with R

The R language is chosen by many data scientists in their professional journey. The applied data science with R certification will teach you skills to analyze and interpret data using R.

The course will begin with the basic concepts of R language i.e., common data types and structures. At the start of the course, you will learn the usage of the language in programming and data manipulation. The course will also impart a basic understanding of the SQL language.

Throughout the course, you will learn to work on tools like R Studio, Jupyter Notebooks, Watson Studio, and related R libraries for data science, including dplyr, Tidyverse, Tidymodels, R Shiny, ggplot2, Leaflet, and rvest.

Courses in this program include:

Basics of the R language for data scienceSQL for data science with RAnalyzing data with RVisualizing data with RR data science capstone project 

Key outcomes

After the completion of the course, you will be able to:

Do basic R programming tasks.Create relational databases using R and SQL language.Communicate data findingsDemonstrate data analysis and visualization skills

Applied Data Science with Python

This course takes the path of teaching data science using the Python language. The course requires learners to have a basic knowledge of Python or have a programming background at the least. 

The certification course prepares you to implement statistical, machine learning, information visualization, text analysis, and social network analysis techniques using Python tools. 

The course is divided into 5 parts:

Introduction to data scienceApplied Plotting, Charting & Data Representation in PythonApplied Machine Learning in Python

Applied Text Mining in PythoN

Applied social network analysis in Python

Key outcomes

After the completion of the course, you can:

Perform a concluding statistical analysisDetermine if the data visualization is good or notImprove data analysis with the help of machine learning. 

Data Science for Business

As is obvious by the name, the data science for business certification course will guide you through ways to make your business more evidence-based. It will teach you how to use information effectively, frame fruitful strategies, and take your business to heights with the help of a more realistic and data-based approach. 

The course content is as follows:

Module 1: The Data Science shift

Module 2: Data Wrangling

Module 3: Visualization

Module 4: Time Series Forecasting

Module 5: Linear Regressions

Key outcomes

By the end of the course, you will take away the following skills:

How to work beyond the spreadsheet using the fundamental knowledge of data science tools and methodologies.How to Frame data-based strategies for your enterprise.How to understand the core techniques like data curation, regression models, etc.

Data Science Foundation

After gaining the data science foundation certification, you are prepared with all the ins and outs of data science and machine learning. This also makes you eligible for starting out with your career in the field, demand for which has always been greater.

The curriculum includes:

Introduction to data scienceTools associated with data scienceData science methodologySQL for data science

Key outcomes

Upon completion of this course, you will learn:

Tools applied by data scientists Data science problem-solving.Develop your strategies and methodologies.

Your Guide to Choosing the Right Data Science Certification for You

Getting into the field of data science does not require any degree. The only requirement is a certification course and an inquisitive mind. For that matter, you can be from a non-technical background too. 

Data science certification courses are almost endless. Hence, it becomes natural to ask, “but which course should I go for?”. Of course, the list is long enough to puzzle you. Don’t worry. Here are a few points that you should look for while opting for a certification course. 

Practical teaching: Undoubtedly, theoretical knowledge plays a crucial role in gaining the critical concepts of data science, practical knowledge is equally important. An effective training program ensures that students are provided with the required practical knowledge of the field. Trainer experience: Effective teaching comes with an effective and knowledgeable teacher. Whether it is an online or offline training program, make sure your mentor has considerable expertise in the field.Alumni reviews: Surveying about the courses from alumni can help a great deal in selecting a solid training program. Before opting for a course, ask them about their experience with the trainer, course curriculum, and placement history.  

The article brought to you some of the most popular and best data certification courses, and how they can boost your career growth in this rapidly growing digitalized world. 

SkillUp Online is here to make a smooth pathway for you. With instructor-led classes and well-structured courses, you will find yourself conquering data science with SkillUp Online.