Henesh Rawat
Aspiring for a career in Data Analytics? Read the article below to know about the future of Data Analytics, eligibility, courses, syllabus, job profiles, and payscale.
Data analytics can be defined as a process of examining data sets with the help of various software or specialized systems to draw conclusions from it. Nowadays, data analytics has become one of the most crucial parts of commercial industries. Data analytics enables organizations to take more-informed business decisions based on scientific data and research.
Data analytics helps improve a company’s operational efficiency and customer service, gain a competitive edge and increase revenues tools. It helps the research and development team of an organization in approving or rejecting scientific models, theories, and hypotheses. Data Analytics tools use historical or real-time data to process and draw results.
Data analytics methodologies include exploratory data analysis (EDA) and confirmatory data analysis (CDA). EDA aims to find patterns and relationships in a given data, whereas CDA examines the authenticity of hypotheses about a data set.
There are different forms of data analysis like quantitative data analysis, qualitative data analysis, data mining, predictive analytics, and machine learning.
After completing a data analytics course one can get jobs like data engineer, data scientist, data architect, database administrator and data analyst with a starting salary of Rs 4 lakh or more.
Data Analytics: Eligibility Criteria
Other than certification or diploma courses, Data Analytics is also available at the postgraduate level as a stream of specialization in Computer Science and Management. The minimum eligibility criteria for a postgraduate Data Analytics course is a Bachelor’s degree with at least 50% marks in aggregate or equivalent preferably in Science or Computer Science from a recognized university.
Required Skillset for Data Analytics
Strong analytical and numerical skills are must for a good data analytics professional. Other than that, one needs to have a thorough understanding of computer software(s) like Querying Language (SQL, Hive, Pig), scripting Language (Python, Matlab), Statistical Language (R, SAS, SPSS), and Excel. Data analytics professionals must also possess good interpretive and problem-solving skills to explain the process of data analysis and its outcome.
Data Analytics Courses
One can pursue Data Analytics at UG, PG and doctorate levels. Most popular Data Analytics courses are mentioned below:
| PG courses | UG Courses |
| MBA/PGDM | BE/BTech |
| MSc/MCA/MTech | BSc |
Data Analytics Syllabus
A data analytics course consists of the following topics:
Syllabus of Data Analytics
| Data Structures and Algorithms | Probability and Statistics | Relational Database Management Systems |
| Business Fundamentals | Text Analytics | Data Collection |
| Data Visualization | Statistical Analysis | Forecasting Analytics |
| Simulation | Machine Learning | Optimization |
| Marketing Analytics | Pricing Analytics | Social Network Analysis |
| Retail Analytics | Customer Analytics | Supply Chain Analytics |
Data Analytics: Job Profiles
- Data Scientist
- Data Architect
- Data Engineer
- Data Analyst
- Statistician
- Database Administrator
Data Analytics: Top Companies
Data Analysts are the most sought after skilled professionals in the current world, not only in the Information Technology industry but also in Finance, Insurance, Banking, Marketing & Sales, Consumer Goods, Electronics, and Heavy Industries.
Companies Hiring Data Analytics Graduates
| MachinePulse | The Smart Cube | |
| Fractal | Amazon | Novartis |
| Fractal Analytics | JP Morgan Chase | Capital One |
| RBS | ICICI Bank | Flipkart |
| Kotak Mahindra | Accenture Consulting | KPMG |
| Yahoo | Tumblr | |
| Tredence | Cartesian Consulting | Quantium Analytics |
| Deloitte | HSBC | Credit Suisse |
| Barclays | Axis Bank | E-bay |
| Expedia | AT Kearney | CRISIL |
| Microsoft | Mu Sigma | |
| BRIDGEi2i | Flytxt | Tata iQ |
| Citi Bank | Deutsche Bank | Nomura |
| HDFC Bank | Yes Bank | Snapdeal |
| Make My Trip | E&Y | Walmart Labs |
| ZS Associates | ||
| Brillio | Bank of America |
FAQs regarding Data Analytics
Q. What are data analytics used for?
A. Data analytics is the science of analyzing raw data in order to make conclusions about that information.
Q. Is Data Analytics a good career?
A. Presently, skilled data analysts are some of the most sought-after professionals in the world.
Q. What is data analytics for beginners?
A. In the beginning of a Data Analytics course, candidates will be given insights into how to apply data and analytics principles in business, data visualisation and data science methodologies.
Q. How much is a data analyst paid?
A. According to reports it is estimated that the average entry-level business/data analyst salary for someone with up to two years of experience and a bachelor’s degree is 5-10 LPA.
