A data analyst is someone who uses technical skills to analyze data and report insights. This course helps you learn the basic concepts of data analytics with ease and improve your employability in any career you pursue.
A data analyst is someone who uses technical skills to analyze data and report insights. This course helps you learn the basic concepts of data analytics with ease and improve your employability in any career you pursue.
Organizations in all industries increasingly rely on data to make critical business decisions—which new products to develop, new markets to enter, new investments to make, and new (or existing) customers to target.
An analyst needs to know how to use data to enable an organization to make more informed decisions.
Though becoming an analyst is not everyone's cup of tea, a basic knowledge of it will give you a competitive edge in any career you pursue.
This course helps you test drive a career in data analytics by providing you with a safe, simulated, and risk-free way to immerse yourself as a data analyst in real-world workplace scenarios. This helps you understand what a career in data analytics is all about and how data analytics is used by companies to solve real-world problems.
Who is the course for?
For anyone (a student, a graduate or a working professional) who wants to gain a basic knowledge of data analytics and improve their employability in the job market.
According to the National Skills Coalition, 92% of jobs require at least a basic knowledge of new-age technologies. Data Analytics is one such technology used widely by companies across sectors.
Take a test drive, learn its basic concepts and improve your employability in any career you pursue. If you find it exciting, you may also consider pursuing a career as a data analyst.
Here's how you test drive and understand Data Analytics.
An overview of the course.
Instructions that help you navigate with ease while you test drive.
Go through a full introduction about data analytics including types, methods, tools used, key skills associated with analytics, and career outlook including the salary, job titles and prospects.
Deploying predictive analytics, how Airbnb uses big data and machine learning to show hosts the probability of getting a booking and allows them to easily price their listings dynamically with a click of a button through their dynamic pricing feature.
How Walmart uses big data to solve complex problems in various areas of its business with the ultimate objective of enhancing, optimizing, and customizing the shopping experience of its customers.
The different approaches Netflix follows in dealing with large streams of data to extract information and how its recommendation system creates a personalized experience that makes it easier for users to find great content to enjoy.
With an effective Engine Health Monitoring (EHM) system, how Rolls Royce aims to avert a potential threat before it has a chance to develop into a real problem.
Using data analytics and machine learning, how American Express detects and prevents fraudulent transactions before a substantial loss is incurred while allowing normal business transactions to proceed in a timely manner.
An activity that gives you hands-on experience in analysing the data, drawing insights and arriving at conclusions.
Refresh your basics including terminologies related to data analytics from expert-curated free online resources provided to you.
Get certified by taking an online test to evaluate your general aptitude and basic knowledge of this technology. Free online resources are included for practice.
Our career development hub provides free online resources that include career tips, guidance, workshops and job/internship alert services.
Gain a basic understanding of what the tech is all about, related terminologies and how it solves business problems.
Take the test, obtain certification, add value to your resume and stand out in the job market.
Our career development hub provides free online resources for career workshops and job/internship alert services.
This has provided me with a suitable learning path to pursue a career in data analytics.
A great introductory course. This basic idea about data analytics will help me in the long run.
I've got an outline of the skills that are essential for a data analyst and different ways to improve them.
Thanks to this exploratory program, now I'm confident to go ahead in investing in a Data Science course.
To my surprise, I found that this learning program is designed with absolute beginners in mind.
I'm excited to find that even an Economics student can pursue a career in Data Analytics.