Businesses are moving towards digitization and the total volume of data that the world is generating is forecasted at 59 zettabytes in the year 2020. In today’s digital ecosystem, data professionals are highly in demand as organizations rely upon astronomical volumes of data for making business decisions.
Therefore, it is important to process this raw data for gaining the most out of it. We need data analysts who can analyze this data from the global data sphere and transform it into useful information. Data analysts is a challenging career that boasts a premium salary and allows for remote work opportunities.
In this article, we will learn everything about data analysts, their roles and responsibilities, etc.
Who are Data Analysts?
Data analysts are professionals who retrieve, gather, organizes, and analyze data to gain useful insights into business information. The data that professionals use for analytics can be the byproduct of customer feedback, logistics, accounts, etc. From healthcare to retail to food and beverage, data analysts are transforming businesses by empowering them with data-driven decisions.
Data analytics is an extensive term that incorporates diverse analysis. However, the process that data professionals use to retrieve useful insights from the collected dataset is known as analytics.
If you want to become a data analyst, here’s a complete step-by-step guide that can help you reach your career goals. Let’s get started.
Qualification You Need to Become A Data Analyst
A Bachelor’s level degree in data science with a high GPA can land you a job as a Data Analyst. By pursuing a degree in data science, you would be able to gain theoretical knowledge and specialization in mathematics, statistics, economics, etc.
However, if you have a degree in any other domain, you can search for professional data science course in Mumbai to upskill with industry-relevant training. To enter into this challenging career, make sure that you are mentally prepared for all the complexities that it incorporates. Ask yourself these calculative questions given below:
- Is programming something that excites you the most?
- Do you possess a degree or a higher qualification in Computer Science, Statistics, Economics, etc.?
- Are you ready to handle the promising job responsibilities that this career path has to give you?
- Are you willing to understand the complex data patterns and develop strategies to transform them into business information?
The certification program will certainly help you gain hands-on experience and become a market expert.
How to Become A Data Analyst
Upskill with Applied Mathematics & Statistics
If you are from a technical background, the path to becoming a data analyst is quite straightforward. However, for non-tech degree holders, a little more efforts are all you need to pursue your dream job. Perform thorough market research on the best data analytics courses in Mumbai to join one from a reputed institution. Enhance your knowledge in Mathematics and Statistics as this will ease your pathway to become a successful data professional.
Try to read as much as you can about these given topics to polish your knowledge.
- Data Analysis
- Machine Learning
- Regression Analysis
- Statistical Modelling
Become A Pro in Programming Languages
As a Data Science graduate, you must be proficient in some kind of programming language, maybe JAVA, HTML, or C. However, learning modern coding bases such as Python and R can make your career path more flexible. Python is extremely easy to understand and if you know to program, it’s even easier for you to learn it.
Python is a general-purpose programming language and used extensively for building web and desktop applications. Understanding this language can help you analyze data across various platforms and operating systems. You can handle large datasets by learning Python and become more comfortable with calculations and analysis operations.
Hands-On Experience with Data Visualization Tools
To excel in your career as a data analyst, you need to learn some data visualization tools that will help you to analyze the visual form of data. The visual data formats may include graphs, images, presentations, etc. It is one of the crucial steps that every data analyst needs to take forward for becoming capable of analyzing large datasets and simplify the complex insights into interesting visualization.
Here’s a list of some of the most commonly used data visualization tools that every data analyst must be aware of:
- E Charts
- MS Excel
- Dundas BI
- Google Charts
Simply Learn Artificial Intelligence & Machine Learning
Artificial Intelligence is a combination of interactive technologies and machine learning is an immersive technique used for personalized marketing. These technologies and algorithms help data scientists to test and retest code at a speed no human could ever attain. Data analysts use predictive analytics skills to predict what/ifs of the future by analyzing past data patterns.
AI machine learning is rapidly growing and impacting all the industries with all good benefits. The next couple of years will record substantial technological innovation where artificial intelligence and process automation will play a crucial role. To become a data analyst, you need to understand AI and ML technologies for quality predictions.
Must-Have Skills for Data Analysts
- Understanding of Python, R, and other programming languages.
- Thorough knowledge and understanding of computer fundamentals.
- You must know SQL, Oracle, and willing to learn database languages such as NoSQL.
- Data analysts need to make a lot of predictions, knowledge of probability is mandatory.
- You need to know data modeling to analyze data objects, their relationships, and interaction.
Global demand for Data Analysts is rising at a faster pace around the world. If you are keen to become a data analyst then pursuing Data Analytics Certification in collaboration with IBM can help you to attain your dream career. The certification course offers interactive modules that include:
- Analytics and Programming Foundation
- Data Analytics with Python
- R Programming for Data Science
- Data Science with R
- Tableau Training
- Data Analysts Capstone
The elective modules of this certification program include Power BI and Artificial Intelligence. So, hope this information will help you start a seamless learning journey in data analytics.