Courses

Data Analytics Courses

Every day, we produce over 2.5 quintillion bytes of data. Companies need data analysts to gain comprehensible insight from this unstructured raw data. Data analytics allows individuals to effectively mine and then use data from various sources to assist business. Companies are in dire need of skilled analysts for all kinds of business requirements. One can start preparing themselves by joining a reputed Data analytics course or even take up a postgraduate programme to upskill themselves.
The Insight Report by the World Economic Forum has predicted that by 2022, 85% of companies will adopt data analytics and Big data technologies.

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Programs in Data Analytics (6 to 18 months)

Anyone including novices, statisticians, information architects, developers, big data professionals, business analysts, or someone who is simply curious about this rapidly growing field can take a course that fits their needs and can confidently take the next step in their career.

Executive PG Programme in Data Science
Executive PG Programme in Data Science | 12 months
Become a Data Scientist and learn how Uber bridges its supply-demand gap and lots more
Program Level
Advance
Duration
12 Months
Hours of Learning
400+
No of Case Studies
7
Master of Science in Data Science
Master of Science in Data Science | 18 months
Pursue an integrated Master's Program in Data Science from IIIT-B and LJMU
Program Level
Advance
Duration
18 Months
Hours of Learning
400+
No of Case Studies
7
Advance Certificate in Data Science
Advance Certificate in Data Science | 7 months
Become a Data Analyst by learning how Gramener identifies credit defaulters and lots more
Program Level
Advance
Duration
7 Months
Hours of Learning
200+
No of Case Studies
5
Executive PG Programme in Business Analytics
Executive PG Programme in Business Analytics | 11 months
Data driven decision making is the most sought-after industry skill. Gain skills to excel in this data driven world.
Program Level
Advanced
Duration
11 Months
Hours of Learning
300+
No of Case Studies
8+
Global Master Certificate in Business Analytics
Global Master Certificate in Business Analytics | 6 months
Gain a fundamental understanding of how to leverage data to improve business performance, immediate decision making and long-term strategy development
Program Level
Advance
Duration
6 Months
Hours of Learning
150+
Professional Certificate Programme in HR Management and Analytics
Professional Certificate Programme in HR Management and Analytics | 8 months
Get certified by IIM Kozhikode in HR Management and Analytics. This course will help you understand industry trends by applying Analytics.
Program Level
Advance
Duration
8 Months
Live Sessions
3+
Why Learn Data Analytics?
Why Learn Data Analytics?
Data analytics allows companies to take advantage of Data and meet business requirements such as predicting trends, forecasting demands, reporting any upcoming market changes and providing insight into the present and future market situation. Data analytics is becoming increasingly popular among both businesses and professionals. From a business perspective, data analytics allows companies to analyse and then optimise their performance alongside cutting costs and decreasing market risks. Analysing and identifying trends and behaviour can help companies improve their products or services and satisfy their customers better.
The market size for Data analytics grew by an enormous 26.5% to become $45.4 billion in India during FY 2021 from last year’s $35.9 billion. This is the reason, Data analytics is growing in popularity among students and working professionals both. Many different sectors are seeking help from data analysts to help them. In banking sectors, risk analytics is crucial for keeping track of credit score and possible loan defaulters. Companies like Uber depend on data analytics to help them optimise their routes and customer fare. Data analytics can also be used in public sectors to manage energy expenditure.
How to be a Data Analytics Expert?
It is never too late to become an expert in Data Analytics. Students can start learning Data analytics at undergraduate levels, while working professionals can take up online courses on data analytics. It has led to an increase in the number of individuals from other fields or industries pursuing Data analytics courses to fulfil these job roles. Generally, most professionals pursue Data analytics after 1 or 2 years of work experience. However, there are many Data analytics Postgraduate programmes that one can pursue directly after graduating. It will help to have a bachelor’s degree in statistics, mathematics, IT, computer science or computer applications. This allows easy progress into Data Science and other fields such as Data Engineering. There are many reputed boot camps, online Data analytics courses and degree programmes that can help budding analysts acquire the required foundations and skills to become a Data analyst. However, candidates must first join as an entry-level Data Analyst and work their way up through learning and experience to truly become a Data analytics expert.
Here are some tools and skills that can help you become an expert in Data analytics.
    SQL
  • Microsoft Excel
  • Microsoft Power Bi
  • R or Python
  • Mathematical and Statistical skills
  • Machine Learning (Additional)
Also,
  • Find the right crowd with similar goals.
  • Stay updated about projects and opportunities.
  • Find a mentor with incredible industry experience.
  • Get involved in projects and build a portfolio.
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Programming Languages and Tools Covered

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Learn from India’s leading Data Science faculty & industry leaders

Data Analyst Salaries
Data Analyst Salaries
Data analysts in India enjoy great compensation from MNCs, large conglomerates and startups alike. According to over 4000 surveys submitted to Glassdoor, Data analysts across the Indian sub-continent have reported an average salary of Rs. 5,62,500 per annum. Data analysts receive annual packages that are quite desirable, and it only gets better for senior analysts. According to Glassdoor, senior Data analysts in Indian earn an average of Rs. 8,15,595 annually. Glassdoor also estimates that Principal Data analysts in India earn average base salaries of Rs. 30,00,000 and even upwards of Rs. 70,00,000.
Payscale reports similar numbers based on more than 4500 salaries of Data analysts in India. According to them, on average, Indian Data analysts get paid Rs. 4,38,398 per annum, but 90% of these salaries were above Rs. 9,00,000, with only 10% being lesser than the median salary. Let’s check some of the annual average base salaries of Indian Data analysts across different companies.
  • Accenture: Rs. 5,64,641
  • Cognizant: Rs. 5,43,357
  • Infosys: Rs. 5,33,261
  • Amazon: Rs. 5,24,025
  • Ernst & Young: Rs. 4,42,934
  • Capgemini: Rs. 4,50,000
Data Analyst Career Options
Data Analyst Career Options
Google CEO Sundar Pichai had agreed earlier this year that 50% of all the employees would need upskilling or reskilling by 2025. This is mainly due to the growing need for analytical tasks and the need to work with data across various fields and industries.
Data Analytics also makes way for more focused analytical processes such as financial or operational analytics that concentrate on specific data and specialised job roles. For instance, financial analytics only focuses on financial data and market data to help companies take advantage of economic factors. On the other hand, operational analytics is involved in comparing real-time performance metrics against organisational requirements. Meanwhile, Marketing analysts study customer behaviour, trends and demand to help companies increase sales or profit. The bottom line - different types of analytical methods help companies understand the varied data elements of a dataset.
The employment of Data analysts is expected to grow by 11% by 2024 as compared to 2014. Let us check some Data Analytics-focused job roles for future analysts.
  • Business Analyst
  • Operations Analyst
  • Financial Analyst
  • Marketing Analyst
  • Medical analyst
  • Data Miner
  • Database Administrator
  • Data Engineer
  • Data Scientist
  • Data Specialist
  • Business Intelligence Consultant
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