How to Become a Data Analyst

1. How To Become A Pro Data Analyst In This Decade Data analysis has evolved with the advancement of computers and an ever-snowballing move toward a technological revolution. Want to learn more about this high-demand career and find out what skills you must have in order to become a data analyst, then you have landed on the right page. We have developed a synopsis of a more detail-oriented Learn path in this domain. You can find the link to Data Analytics courses that helps you learn those skills towards the end of this article. What is data analysis? Data Analysis is a robust process of identifying and collecting data that you want to analyze, cleaning and sorting the data as groundwork for analysis, analyzing and interpreting the results, and presenting it in a meaningful visual format with the help of charts and graphs. A Data Analyst is an individual who has the expertise and skills to process raw data extracted from large datasets into meaningful information and insight to make more informed business decisions. Data is everywhere Businesses in all industries are more and more dependent on data to make crucial business decisions like what products to produce, which markets to enter, and which customer segment to target. Data is also being used to diagnose weak areas in a business that need to be addressed. They can work in several industries, including agriculture, banking, entertainment, education, and so on. Data science versus data analytics Data Science is an umbrella domain that encircles Data Analytics. Data Science is an amalgamation of multiple skill sets like Machine Learning, Mathematics, Artificial Intelligence, and Statistics. It encompasses concepts like data mining, predictive modeling, and ML algorithms to analyze multiform datasets and transform them into scientific business strategies. Whereas, Data Analytics deals with Mathematical and Statistical Analysis. In simple words, Data Analytics is a subdivision of Data Science that is mainly concerned with deriving answers to specific questions that Data Science brings forth. Both the roles entail multiple responsibilities of collecting, cleaning and analyzing data. Hence, their job roles often overlap. Skills required ➔Soft A stronghold of the following soft skills for data analysts can help you all through your career: skills

2. ◆Communication:A data analyst’s job requires you to have strong written and verbal communication skills to get your ideas across to your colleagues without leaving room for misunderstanding. ◆Curiosity and Exploratory Nature:Knowing all about the data you are working on beforehand will give you an upper hand in your job. Take some time and study all about the data you will be working on to get familiar with it and be updated on the latest trends. ◆Critical Thinking:It is essential to have a strong foundation in statistical methods and view problems with a critical and creative lens. It will also help in generating interesting research questions which will further enlighten the understanding of the data at hand. ◆Presentation:Presenting your conclusions in an easy-to-understand and compelling way will help a non-technical team to form meaningful insights and aid in well-rounded decision-making. ◆Math and Statistics Understanding:Having a basic grasp of statistics and math will be advantageous for you to help you regulate which tools are best suitable to solve a particular problem and have a better judgment of the results.

3. ➔Technical Also called hard skills that include explicit technical knowledge. The following are some hard skills that a company looks for in a data analyst to possess: skills ◆Structured Query Language (SQL): It is known for handling larger data sets and encompasses extracting, transforming and loading the desired data.

4. How to Learn? SQL can be learned and mastered with a self-paced online course designed to give learners an in-depth knowledge of SQL programming and the creation and management of SQL databases. SQL Essentials Training & Certification Provider: Edureka; Price: ₹6,799 or $87; Duration: Flexible; Level: Beginner SQL Developer Course Provider: Henry Harvin; Price: ₹6750 or $97; Duration: 16 hours; Level: Intermediate ◆Advanced MS Excel: Proficiency in MS Excel is a must. A data analyst should have a strong hand in Excel and understand and work on advanced techniques and analytics modeling. How to Learn? MS Excel, from beginner to advanced level, can be learned in just a few weeks through the abundant free resources available online. MS EXCEL 2016 Certification Training, Edureka Provider: Edureka, Price: ₹8475 or $109, Duration: Flexible, Level: Advanced Advanced Excel Course, Henry Harvin Provider: Henry Harvin, Price: ₹7,500 or $97, Duration: 24 Hours, Level: Intermediate ◆PowerBI or Tableau: It is used to cumulate and analyze data and present it in a more clear and concise way. It also helps in having a bird’s eye view of what's going on in the business. How to Learn? For aspiring data analysts to depict the data in an easy-to-understand manner, it is essential that they learn data modeling, filter functions, DAX language, and basic stats. Tableau Certification Training, Edureka Provider: Edureka, Price: ₹21,995 or $284, Duration: 36 Hours, Level: Intermediate Tableau Training and Certification Course, Henry Harvin Provider: Henry Harvin, Price: ₹13,500 or $174, Duration: 32 Hours, Level: Intermediate

5. ◆R-Statistical Programming: It is used while performing predictive analytics on large and complex datasets. How to Learn? In order to truly succeed as a data analyst, you need to master at least one of the two languages and lay special emphasis on learning basic R variables, data types, OOPs, and other essential concepts. Data Analytics using R, Henry Harvin Provider: Henry Harvin, Price: ₹13,500 or $174, Duration: 8 hours, Level: Intermediate Data Analytics with R certification, Edureka Provider: Edureka, Price: ₹19,995 or $257, Duration: Approx 1 month, Level: Intermediate Learning paths If you are pondering how to become a Data Analyst, there are various online and offline Data Analytics courses being offered. It is up to your requirements, preferences and feasibility to sort down the right one like an on-campus learning option will be more suited for an integrated learning experience. However, in terms of flexibility, online learning is favorable. Conclusion A data analyst’s job is a gratifying passage to walk on, regardless of the industry you work in. If you want to know more about how to build a successful career in this field and explore various courses available to acquire desired skills and knowledge, then explore our comprehensive Learn path on ‘How to Become a Data Analyst’ and get started with your career. About us Careervira.com is a global edtech market platform. With over 12K+ courses from 65+ global partners across tech and non-tech domains. Careervira.com provides 70+ key decision-making inputs to search and compare from amongst top global courses to zero down on your decision- making by learning partner, skills, course, price, and learn type. We also offer extensive Learn paths on a wide range of subjects to provide you with desired guidance. You can go through them from our advice page.