Data Analytics
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Hardik Patel is a Digital Marketing Consultant and professional Blogger. He has 7+ years experience in SEO, SMO, SEM, Online reputation management, Affiliated Marketing and Content Marketing.

In this digital age, we are witnessing many technological advancements used to make sophisticated products. Data has become more important than ever for companies to make more informed decisions and develop such products. However, that form of business data isn’t readily available to companies. A lot of processes are followed to present that data in such a way that enhances decision making. The data we generate is in a raw format initially. This raw data is collected from disparate sources and followed by data cleaning, analysis, modeling, and data visualization.

This article particularly focuses on data analytics, which involves applying algorithms or mechanical processes to draw meaningful conclusions like running through multiple data sets to find trends. Data analytics is quite helpful in many sectors, like healthcare, gaming, travel, and energy management. With data-related jobs currently dominating the market, training programs like a data analytics certification course are particularly preferred by professionals to gain a competitive edge in this field.

Are you too focusing on a data-related career? A career in data analytics will surely be a promising and high-paying career if you gain the right skills. Taking a data analytics online course is one of the best ways to start your professional career in this domain. When you seek such a course, you may be overwhelmed by the various resources available over the internet. This article makes your task easier by listing the most reputed training institutes which offer high-quality data analytics online courses.

Without further ado, let’s check them out!

Top Data Analytics Online Courses

Consider taking any of these data analytics courses to learn everything from scratch and increase your credibility.

Post Graduate Program in Data Analytics by Simplilearn

This in-depth training program is offered in partnership with Purdue University and collaboration with tech giant IBM. The program duration is 8 months, and you need to spend 5 to 10 hours per week to complete it. You’ll get a comprehensive understanding of key technologies used in data analytics like Python, Tableau, R, statistics, SQL, and PowerBI. Apart from study materials, learners get Purdue Alumni association membership, JobAssist program, over 14 industry projects on integrated labs, and three capstone projects.

This postgraduate program is divided into the following courses:

  • Analytics and programming foundations
  • Data analytics with PythonPython
  • R programming for data science
  • Data Science with R
  • Tableau training
  • Data analyst capstone

Data Analysis and Interpretation Specialization by Coursera

Designed in collaboration with Wesleyan University, this specialization takes you from data novice to data expert. It will let you learn SAS or Python programming, analytical methods and applications, logistic regression, exploratory data analysis, and machine learning. By spending 2 hours per week, you’ll be able to complete the specialization in 5 months. Learners also get to solve practice quizzes and graded assignments with peer feedback.

There are four courses included in the specialization:

  • Data management and visualization
  • Data analysis tools
  • Regression modeling in practice
  • Machine learning for data analysis

Big Data Analytics by EdX

This course, designed by the University of Adelaide, is ideal for professionals willing to learn the key technologies to analyze large data sets and draw valuable business insights. The course duration is 10 weeks, and you need to spend 8 to 10 hours per week. You’ll gain expertise in using analytics tools like Apache Spark and R, predictive analytics, and application of large-scale data analysis. The syllabus is divided into 10 sections, namely:

  • Simple linear regression
  • Modeling data
  • Many models
  • Classification
  • Prediction using models
  • Getting bigger
  • Supervised machine learning with sparkly
  • Deep learning
  • Deep learning applications and scaling up
  • Bringing it all together

Big Data Analytics by FutureLearn

The Queensland University of Technology offers this big data analytics course on FutureLearn. You’ll get practical insights into big data and popular tools to gather, analyze, and visualize it. It is a 12 weeks program that clarifies statistical inference, machine learning, mathematical modeling, and data visualization. Further, you’ll explore predictive analysis, dimension reduction, clustering techniques, decision trees, and maths behind various big data tools.

Here are the four courses covered in this program.

  • Big data: from Data to Decisions
  • Big data: statistical inference and machine learning
  • Big data: mathematical modelling
  • Big data: data visualization

Data Analyst Nanodegree Program by Udacity

If you seek a course to master those data skills that employers value the most, this nano degree program is for you. It covers applied statistics, data wrangling with PythonPython, data visualization with Matplotlib, and much more to make you capable of solving complex data problems. Learners who take this course will be prepared for many data-related roles like analytics consultants, product managers, data analysts, and management consultants.

The nano degree program duration is 4 months, and you should spend 10 hours per week for completion. The entire syllabus is categorized into the following sections:

  • Introduction to data analysis
  • Practical statistics
  • Data wrangling
  • Data visualization with Python

Conclusion

Data analytics, by no means, is everyone’s cup of tea. You cannot land a data-related job until you have a firm grasp of data analytics concepts. The demand is high for roles like data scientists, data analysts, or business intelligence analysts, but the supply is scarce. Now is the best time to learn data analytics and make the best use of available opportunities. The courses mentioned above are sure to make your data analytics journey easier. Get ready to take a step ahead in your career.

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