Data Analytics

Data analytics is commonly described as a process of examining data sets to draw conclusions on the basis of information available in them with the help of various software or specialized systems. Data analytics has become a very crucial part of commercial industries over the last few years as it enables more-informed business decisions based on scientific data and research.

Data science is an interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data. Data science uses techniques and principles of Mathematics, Statistics, Computer Science and Information Technology to get actionable insights from data. Data science is related to Data Mining, Machine Learning and Big Data.

Difference between Data Analytics and Data Science

To understand the difference between Data Analytics and Data Science. Data analysis involves answering questions generated for better business decision making whereas Data science focuses on discovering new questions needed to drive innovation.

Parameter	Data Science	Data Analytics
Scope	Macro	Micro
Goal	To ask the right questions	To find actionable data
Major Industries	Machine learning Artificial Intelligence (AI) Search engine engineering Corporate analytics	Healthcare Gaming Travel Industries with immediate data needs
Skills Required	Knowledge of Math, Advanced Statistics, Predictive Modelling Proficiency Big Data tools such as Hadoop and Spark Experience with data visualization tools such as QlikView, D3.js and Tableau	Knowledge of Intermediate Statistics Excellent problem-solving skills Dexterity in Excel and SQL database

Data analytics and Data Science tools help scientists and researchers in verifying or reject scientific models, theories and hypotheses, thereby helping the company improve operational efficiency and customer service, gain a competitive edge and increase revenues. Data Analytics tools use historical data or the data being processed in real-time.

Data analytics methodologies include exploratory data analysis (EDA) and confirmatory data analysis (CDA). The former aims to find patterns and relationships in the given data; the latter examines whether hypotheses about a data set are true or false.

There are two forms of data analysis: quantitative data analysis which includes analysis of numerical data that can be statistically compared; and qualitative data analysis which is more interpretive and draws the conclusion from non-numerical data.

Other types of data science include 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 administration and data analyst. The starting salary of a data analyst as per payscale.com is Rs 4 lakh and upwards.

Data Analytics and Data Science Eligibility Criteria

Data Science courses are available at the postgraduate level as a stream of specialization in Engineering, Computer Science and Management. The minimum eligibility criteria for a Data Analytics course is Bachelor's degree with at least 50% marks in aggregate or equivalent preferably in Science or Computer Science from a recognised university

Required Skillset for Data Analytics

To be good at data analysis, one needs to have strong analytical and numerical skills and must 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. 

Essential soft skills required to be a successful data analyst includes good interpretive and communication skills, i.e. to be able to explain the process of data analysis and its outcome to a different set of audience (technical and non-technical). He/she must also possess attention to detail and problem-solving skills.

Data Analytics Course Fee & Data Science Course Fee

One can pursue Data Analytics at UG, PG and doctorate levels. The most popular Data Analytics courses are mentioned below:

PG courses	UG Courses
MBA/PGDM	BE/BTech
MSc/MCA/MTech	BSc

Apart from the above-mentioned degree courses, one can also pursue short term online certification courses. These courses are ideal for working professionals who wish to add Data Analytics to their list of professional skills.

Data Analytics courses with fee

Various online and offline Data Analysis courses are mentioned in the table below:

Certificate Name	Provider	Duration	Fee
Data Analytics Master Certificate	SimpliLearn	1 year	RS 44,999
Introduction to Data Analytics for Business	Coursera	4 weeks	Free
Business Analytics Course	Edupristine	10 weekends	RS 25,000 onwards
Data Science and Analytics	IMS Pro School	140 hours	RS 90,000 + GST
Programming in R	NIIT	44 hours	Not Available
PG Certification in Data Science	IIIT Bangalore	7 months	RS 3,736 per month

Data Science courses with fee

Various online and offline Data Science courses are mentioned in the table below:

Certificate Name	Provider	Duration	Fees
IBM Data Science Professional Certification	Coursera	10 months	RS 2,912
Applied Data Science with Python	Coursera	5 months	Free
HarvardX’s Data Science Professional Certificate	edX	1 year 5 months	RS 33,000
Amazon AWS Big Data Certification	AWS	170 minutes	RS 22,500
Data Curation Professional	SAS Academy	3-18 months	RS 18,700
Data Science Certification Course Using R	Edureka	5 weeks	RS 22,409
Elements of Data Science	RICEx	6 months	RS 47,998
Business Analytics and Data Science Course	IMS Proschool Pvt. Ltd., Delhi	1-3 months	RS 50,000 to 1 lakh
Graduate Certificate Program in Data Science & Engineering (Big Data and Visual Analytics)	SP Jain School of Global Management, Mumbai	24 months	RS 5 lakh

Along with the above courses, students can also pursue a course on Big Data Analytics. It is also a part of Data Science. Big Data is now being used by almost every industry. In today’s scenario, it is very important for every organization to collect, preserve and analyse whatever data is being generated to avoid the fear of missing out on something important. Big Data Analytics has become crucial as it aids in improving business, decision makings and providing the biggest edge over the competitors. For professionals, who are skilled in Big Data Analytics, there is an ocean of opportunities out there. A study suggests that 77% of the companies and verticals across industries (including non-IT) are adapting to use Big Data. Thus many are recruiting data analysts and scientists.

Big Data Analytics Certifications

Various globally renowned organisations conduct courses on Big Data Analytics. These courses help a person to become successful in the field. A few of such certification courses are as follows:

• Mining Massive Data Sets Graduate Certificate
• Oracle Business Intelligence Certification
• Data Science Council of America Certification
• SAS Certified Data Scientist
• EMC Data Science and Big Data Analytics Certification
• Hortonworks Hadoop Certification
• Microsoft’s MCSE: Data Management and Analytics

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

Some of the software tools taught in the course are:

R	@Risk
MySQL	Simio
Hadoop (AWS)	Tableau
Python	XLMiner
Stata	NodeXL- MeXL

Data Analytics & Data Science Job Profiles and Top Companies

Some of the areas where you can work as a data analyst include Data Assurance, Finance, Higher Education, Sales & Marketing, Business Intelligence and Data Quality.

For a Data Analyst, the daily grind includes, identifying areas where the company can improve efficiency; collecting data to extract resolution, applying tools and methods to audit the data, and create a blueprint of the solution and share it with the concerned people in a simple and understandable way, mainly through graphs, reports and charts.

Top Job Roles

Data Scientist: Data scientists clean and organise scientific data collected for a particular project with the help of programming languages like SAS, R and Python. They are required for the enormous amount of research and help app developers in creating data definition for a particular data, extract relevant data, create the blueprint and methodologies to be used. The starting salary of a Data Scientist in India is Rs 6 lakh and upwards.

Data Architect: Data Architects design the blueprint of the data science project to be undertaken by the company. This includes collating, organizing, centralizing, maintaining and protecting the source of data from all the data management systems and technologies used. In short, they are supposed to ensure the data is available, stable and secure. The starting salary of a Data Architect in India is Rs 18 lakh and upwards.

Data Engineer: Data engineers build algorithms, prototypes, and conceptual models according to the blueprint designed by data architects. Their main responsibility is to provide valid data to statisticians and data analysts for the analysis. The starting salary of a Data Engineer in India is Rs 5 lakh and upwards.

Data Analyst: As the name suggests, a Data Analyst is required to analyse the given data to extract important insights needed for a particular project. The job responsibility includes identifying trends and creating predictive models on the basis of data collected. He is also expected to present the data and inferences in a meaningful format like graphs, charts, reports, dashboards, etc. The starting salary of a Data Analyst in India is Rs 4 lakh and upwards.

Statistician: The Statistician collects, analyzes and interprets quantitative data with the help of theories and methodologies specific to statistics. Their job responsibility includes determining methods for collecting data and decide what data are needed to solve the given problems. The starting salary of a Statistician in India is Rs 4 lakh and upwards.

Database Administrator: The job of a database administrator (DBA) is to ensure that the database is secure, is available to all the concerned users and is performing properly at all times. The DBA uses specialised software to store and organise the data. The starting salary of a Database Administrator in India is Rs 4 lakh and upwards.

*The salary data is obtained from payscale.com

Read More: Advance Your Career Through Post Graduate Course in Data Science

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Data Analytics & Data Science Top Companies

In today’s world, Data Analytics is the need of the hour. If a business enterprise has to excel in its field, it has to take the help of data analysis and data science. With the help of data analytics companies can not only increase their revenue, expand the customer base, provide better customer satisfaction, cut cost, but also get an edge over their competitors.

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, Heavy Industries and all other sectors; as all of them require someone to do the number crunching for them.

Companies Hiring Data Analytics Graduates
Google	MachinePulse	The Smart Cube
Fractal	Amazon	Novartis
Fractal Analytics	JP Morgan Chase	Capital One
RBS	ICICI Bank	Flipkart
Kotak Mahindra	Accenture Consulting	KPMG
Yahoo	Twitter	Tumblr
Tredence	Cartesian Consulting	Quantium Analytics
Deloitte	HSBC	Credit Suisse
Barclays	Axis Bank	E-bay
Expedia	AT Kearney	CRISIL
Microsoft	LinkedIn	Mu Sigma
BRIDGEi2i	Flytxt	Tata iQ
Citi Bank	Deutsche Bank	Nomura
HDFC Bank	Yes Bank	Snapdeal
Make My Trip	E&Y	Walmart Labs
Facebook	Instagram	ZS Associates
Brillio	Bank of America

FAQs Regarding Data Analytics & Data Science

Which is better Data Science or Data Analytics?

Is Data Science and Data Analytics the same?

Is Data Analytics a part of Data Science?

Can a Data Analyst become a Data Scientist?

Is Data Analytics in demand?

What is the eligibility criteria for Data Analytics?

How much does the average Data Analyst make?

Is Data Science in demand?

What is the average salary of a Data Scientist in India?

Which is the best institute to pursue a Data Science course?

What are the best sites to learn Data Science?

Following are the most popular Data Analytics Colleges in India. Learn more about these Data Analytics colleges (Courses, Reviews, Answers & more) by downloading the Brochure.

Following are the top-rated Data Analytics courses, based on alumni reviews. Explore these reviews to choose the best course in Data Analytics.

Following are the most popular Data Analytics UG Courses . You can explore the top Colleges offering these UG Courses by clicking the links below.

Following are the most popular Data Analytics PG Courses . You can explore the top Colleges offering these PG Courses by clicking the links below.