Blog_Banner_Asset
    Homebreadcumb forward arrow iconBlogbreadcumb forward arrow iconData Sciencebreadcumb forward arrow iconTop 4 Data Analytics Skills You Need to Become an Expert!

Top 4 Data Analytics Skills You Need to Become an Expert!

Last updated:
22nd Jun, 2017
Views
Read Time
4 Mins
share image icon
In this article
Chevron in toc
View All
Top 4 Data Analytics Skills You Need to Become an Expert!

Everybody is talking about Data Analytics skills.

Thanks to the digital revolution, analytics is sweeping across industries in a huge way. Mastering certain data analytics skills can enable you to chart a successful career in this lucrative and rapidly changing domain. Deriving insights from large volumes of data to enable better decision-making and an even better customer experience has become the norm for competitive firms these days. Which is why having a data analytics skills in this world pays off well.
There are over 50,000 job openings in the field and the domain is only evolving by the day. But how do you decide if you would be a good fit? What are the skill sets you need to be able to successfully transition into a data profession?
Know more by watching the below video, going through the Infographic or just keep reading on!

Top 4 Data Analytics Skills You Need to Become an Expert UpGrad Blog

Here are the top 4 data analytics skills you will need:

Solid Domain Understanding

Data Analytics skills help in problem-solving. They need to understand the variables in a business, the levers that they can potentially move to bring about a significant positive change, the external and internal factors that affect its growth, and model all necessary decisions accordingly. Business understanding is a must-have and one of the most critical skills if you aspire to become a data analyst.

Our learners also read: Learn Python Online Course Free

Mathematics & Statistics

Objective decision-making forms a very important part of how you arrive at the solution of any given decision. To be able to take decisions objectively you must rely on Mathematics and Statistics. You need to find patterns, segment, make predictions based on historical information. You will need to use prediction algorithms, classification, and clustering algorithms to arrive at the best possible solution, and that is where Mathematics and Statistics will come to the rescue.

Technical Skills

You can identify and solve a problem using domain understanding and mathematical skills. But most businesses are not so simple. You will need to go through data sets that are way beyond your calculative abilities, and in order to be able to replicate your algorithms and business solutions at scale, it is very important that you pick up tools such as R, Python, SQL etc.

Top Essential Data Science Skills to Learn

Soft Skills

Last, but not the least of data analytics skills, you should be able to communicate your solution in the most simple and understandable format to the stakeholders. They might not know anything about KS Statistics, or root mean square error or your clustering algorithm but that is where your soft skills come in. Impactful communication, use of great visualisation and visualisation tools like Tableau, QlikView, ggplot, etc., become really important.

Read our popular Data Science Articles

upGrad’s Exclusive Data Science Webinar for you –

How upGrad helps for your Data Science Career?

Explore our Popular Data Science Degrees

Irrespective of your background, you can potentially transition to the field of data analysis. If you’re an IT professional or you hold a Ph.D. in statistics, you just need to hone a couple of skills and you’ll be ready to rule the world with Data Analytics skills!

Learn data science courses from the World’s top Universities. Earn Executive PG Programs, Advanced Certificate Programs, or Masters Programs to fast-track your career.

Profile

Rohit Sharma

Blog Author
Rohit Sharma is the Program Director for the UpGrad-IIIT Bangalore, PG Diploma Data Analytics Program.

Frequently Asked Questions (FAQs)

1What is Data Analytics?

Data Analytics is the process of discovering, evaluating, and delivering essential patterns in data with the help of precise computational analysis of data or statistics. Most data analytics methods make use of specialized systems and software that incorporate machine learning algorithms, automation, and other features. Data Scientists and Analysts implement analytical techniques in their research, and companies use them to enable them to make choices. Data analysis can assist businesses in better understanding their consumers, evaluating ad campaigns, personalizing content, developing content strategies, and developing goods. Eventually, organizations can utilize data analytics to improve their bottom line and raise corporate performance.

2What do Data Analysts do?

A data analyst's responsibilities include designing and managing data systems and databases, as well as troubleshooting coding mistakes and other data-related issues. Data analysts reorganize data so that it can be interpreted by both humans and machines. They evaluate data sets using statistical techniques, paying close attention to trends and patterns that might be useful for diagnostic and predictive analytics initiatives. They also aid in the demonstration and preparation of reports for senior leadership that effectively convey trends, patterns, and projections based on pertinent data.

3How much do data analysts earn on an average?

An entry-level Data Analyst with less than one year of experience may expect to earn a total salary of ₹3,41,912 (which includes gratuities, bonuses, and overtime pay). The typical total salary for an early career Data Analyst with 1-4 years of experience is ₹4,26,604. The average total salary for a mid-career Data Analyst with 5-9 years of experience is ₹6,96,444. A Data Analyst with 10-19 years of experience makes a total pay of ₹9,42,653 on average. Employees in their late careers (20 years and up) get average total pay of ₹10,00,000.

Explore Free Courses

Suggested Blogs

6 Phases of Data Analytics Lifecycle Every Data Analyst Should Know About
78384
What is a Data Analytics Lifecycle? Data is crucial in today’s digital world. As it gets created, consumed, tested, processed, and reused, data goes
Read More

by Rohit Sharma

19 Feb 2024

Sorting in Data Structure: Categories & Types [With Examples]
135837
The arrangement of data in a preferred order is called sorting in the data structure. By sorting data, it is easier to search through it quickly and e
Read More

by Rohit Sharma

19 Feb 2024

Data Science Vs Data Analytics: Difference Between Data Science and Data Analytics
67024
Summary: In this article, you will learn, Difference between Data Science and Data Analytics Job roles Skills Career perspectives Which one is right
Read More

by Rohit Sharma

19 Feb 2024

13 Exciting Python Projects on Github You Should Try Today [2023]
44346
Python is one of the top choices in programming languages among professionals worldwide. Its straightforward syntax allows software developers and dat
Read More

by Hemant

19 Feb 2024

Top 15 Python AI & Machine Learning Open Source Projects
35912
Machine learning and artificial intelligence are some of the most advanced topics to learn. So you must employ the best learning methods to make sure
Read More

by Pavan Vadapalli

19 Feb 2024

Top 21 Python Developer Skills You Must Need To Become a Successful Python Developer
78377
Its intuitive syntax, extensive libraries and versatile integration capabilities have fueled incredible growth across web development and scientific c
Read More

by Rohit Sharma

19 Feb 2024

Most Frequently Asked NumPy Interview Questions and Answers [For Freshers]
28628
If you are looking to have a glorious career in the technological sphere, you already know that a qualification in NumPy is one of the most sought-aft
Read More

by Rohit Sharma

19 Feb 2024

Top 30 Python Pattern Programs You Must Know About
33843
Summary Pattern in Python or “Python patterns” is an essential part of Python programming, especially when you are just starting out with using algor
Read More

by Rohit Sharma

19 Feb 2024

Top 12 Fascinating Python Applications in Real-World [2024]
154863
It is a well-established fact that Python is one of the most popular programming languages in both the coding and Data Science communities. But have y
Read More

by Rohit Sharma

19 Feb 2024

Schedule 1:1 free counsellingTalk to Career Expert
icon
footer sticky close icon