Data Analytics Courses In India: Details, Eligibility, Fees, Syllabus, Career

Data Analytics Courses In India: Details, Eligibility, Fees, Syllabus, Career
Data Analytics Courses In India: Details, Eligibility, Fees, Syllabus, Career

Data analysis is a method of testing data against available information. Candidates who complete this course will be able to empower organizations to make the right decisions based on data and research. It also contains a number of tools that help professionals and researchers explore different models and theories to improve overall business performance. It can use historical and real-time data to make the right decisions.

Data analytics professionals can help companies determine the right price for new products on the market, run business operations at the lowest possible cost, and identify employees to improve company productivity. In data analysis, there are two methods: exploratory data analysis and confirmatory data analysis. In addition, there are two data analysis structures: quantitative data analysis and qualitative data analysis. Qualitative data analysis includes numerical data that can be analyzed statistically. Qualitative data analysis covers the non-numerical data that helps companies make the right business decisions. Predictive analytics, machine learning and data mining are other forms of data analysis.

This course is therefore an excellent option for candidates wishing to pursue a dynamic career in statistics and research. The data analysis course provides knowledge of computer programs such as Microsoft Access, SQL databases, Microsoft Excel and SharePoint. The main motto of data analysis is to know the numbers of the company and help it to increase its sales. Professionals who complete this course may engage in logistics analysis, market research, strategic planning, and many other activities. The data analytics course enables candidates to get jobs as data analysts, data analysts, data engineers, database administrators, etc.

Here are all the important things you need to know about the data analysis course.

Data Analysis Course Details

Data analysis courses are available at UG and PG level. The GU programs include a Bachelor of Engineering and a Bachelor of Science. PG courses include Masters, MCA, M.Tech, MBA and PGDM. There are also short online courses that can be taken by working professionals. The duration of training in data analysis can vary from 1 to 2 years, depending on the level chosen. The average cost of a data analysis course is INR 85,000 per year.

As part of this course, you can also study various disciplines, including computer science, economics, mathematics, statistics, information management and business information systems.

Admission to data analysis courses:

Data Analytics is an advanced course in information management and technology. Therefore, candidates seeking a career in this program should have relevant knowledge and experience in a particular field. Some data analysis courses also require three to four years of experience to enroll.

  • To pass this course, a minimum grade of 60% is required in areas such as statistics, computer science and others.
  • Students with a degree from an accredited university in mathematics, computer science and statistics can also take this course.

Data analysis skills Prerequisite course:

Candidates must also possess certain specific skills to work well in the industry after completing this course. Since this profession requires extensive research in various fields, you must have coding skills to carry out the work accordingly. Other skills such as problem solving, statistics and data analysis are also required to succeed in this field.

Those who want to make a career in this field must have an understanding of computer software such as scripting language, Excel, statistical language and query language. In addition, communication, data visualization and decision-making skills are essential for success in this field. Other skills, such as attention to detail and critical thinking, are also important in becoming a good data analyst.

Enrollment in a data analysis course:

To enroll in the data analysis course, you need to go to the official website of the institute where you want to study. Then complete the registration process and make payment. When submitting your application, you must also enclose documentary evidence of your education and professional experience. Some institutes also ask for the results of exams such as XAT, CAT, GMAT, etc. In addition, some colleges hold personal interviews and group discussions during the admissions process.

Analysis of data Syllabus:

Candidates taking the Data Analytics course should have a thorough understanding of business and technical topics. Here is the syllabus for this course.

Foundations of business Price analysis Text Analysis Marketing analysis
Predictive analysis Simulation Optimization Data structures and algorithms
Social media analysis Relational database management systems Supply chain analysis Statistical Analysis
Automatic learning Retail Analysis Customer analysis Probability and statistics
Collection of data Data visualization

The data analysis course is also an opportunity to learn some software tools, namely.

MySQL Hadoop Table @risk
XLMiner Simio Python NodeXL -MeXL
Stata R

Career opportunities in data analysis Course:

After completing the data analytics course, candidates can apply for various jobs in leading companies in India. Data analysts can work in areas such as finance, business intelligence, data security, etc. The main job of a data analyst is to find out how a company can improve its efficiency, collect data, examine it using different tools and methods, and propose a solution. They also share the solution with stakeholders in an easy way.

This is a demanding profession, as every company needs someone to conduct business research and analyze data. So, if you enroll in this course, you can build a dynamic career. The starting salary for data analysts is typically between 10 and 12 million per year in different cities in India. The salary can be increased up to 25 lakh with your experience. However, if you want to learn more, you can opt for a university program.

Data analysis Course Working groups:

Here are some jobs you can apply for after taking a data analysis course.

This is one of the most popular jobs for this course. Professionals in this position analyze data to obtain important information needed for a specific project. They are also responsible for identifying changes in the market and creating an appropriate model based on the data collected. Data analysts also prepare presentations of the collected data in the form of graphs, reports, tables, dashboards, etc. In this way, they ensure that people can easily understand them. The salary of a data analyst starts at INR 4 lakhs per annum or more.

Professionals in this position are responsible for cleaning and organizing scientific data collected for specific projects. For this they use programming languages such as Python, R and SAS. You will conduct in-depth research in a specific area and assist application developers in extracting relevant data, developing methods and usage plans, and creating data definitions for specific data. The starting salary for a Danovid Fellow in India is Rs 7 lakh per annum or more.

Statisticians collect quantitative data, analyze and interpret it using various theories and methods used in statistics. They govern the process of data collection and determine what data is needed to solve a particular problem. Statisticians can start their career with 5 million RPM and move up to 15 million RPM per year.

Another popular position in this field is that of data engineer. You will create prototypes, algorithms and theoretical models based on the data architect’s model. In addition, the data engineer determines the appropriate time to analyze the data and informs the data analysts and statisticians. In India, the starting salary for a process engineer is $5,000 or more.

The job of a data architect is to plan for data science projects that can be used by the business. Data architects collect, organize, maintain and protect data sources of all types of data management and technologies used. They also guarantee data availability, stability and security. It is a very demanding job and the salary for this position starts at INR 18 million per annum in India.

Candidates for the Database Administrator position may also apply for the Database Administrator position. The responsibility of this position is to ensure that the database is secure and available to all specified users. The salary of a database administrator starts at INR 4,000,000 per annum.

Top graduate recruitment in data analysis:

Currently, the demand for data analysis has increased in various industries such as finance, banking, sales and marketing, electronics, information technology, heavy industry, and many others. It can not only increase a company’s revenue, but also ensure customer satisfaction, increase the number of customers and reduce overall costs. Graduates of this program can therefore hold different positions in different companies. These are the top companies hiring data analytics graduates.

  • Amazon
  • Flipkart
  • Yahoo
  • HCL Technologies LTD.
  • Automatic data processing
  • WNS Global Services
  • Accenture
  • HSBC
  • Walmart Laboratories
  • Smart Cube
  • Google
  • Link to.
  • Microsoft, etc.

Data analysis course – frequently asked questions

  1. What is a data analysis course?

The data analysis course is primarily designed to explore business-related figures and statistics. Candidates who want to become data scientists, data engineers or database administrators can take this course. The course was mainly focused on acquiring a thorough knowledge of computers such as – Microsoft Excel, Share Point, Microsoft Access, SQL and more.

  1. How can I take the analyst course?

You can take this course at UG or PG level.  You must have completed your studies at a recognized university/college/institute with a cumulative grade of 60% in computer science or statistics.  In addition, a candidate with a degree in mathematics or computer science is also eligible for the analyst training program. Some institutions require proof of experience for admission. Therefore, applicants should not check all eligibility criteria before submitting an application.

  1. Can I take the analyst course without doing an entrance exam?

And the answer is: Yes. At the time of admission, you can submit your diplomas and certificates of work experience, but some institutes/colleges hold their own entrance exams and personal interviews to grant admission to the analyst course. While other institutes ask for XAT, GMAT and CAT scores during the admission process.

  1. What are the best features for the analysis course?

Upon completion of the analyst training program, students can apply for their first job. Below are some of the best jobs in Raleigh.

  • Technology Specialist
  • Statistician
  • Data Architect
  • Data Analyst
  • Computer technician
  • Database Administrator
  1. What is the total duration of the analyst’s award?

The minimum length of training in data analysis is about 1 to 2 years. Moreover, the duration depends on the level you can choose.  Some online analysis courses are only available for a short period of time.

  1. What subjects should I choose in the analyst training program?

The data analytics course offers business and economics related topics that…

Business fundamentals, social media analysis, pricing analysis, modeling, predictive analytics, relational database management systems, machine learning, data visualization, etc.

  1. Is the analytics course a job opportunity?

The demand for analytical professionals is increasing rapidly and they can also find interesting jobs in banking, finance, IT and many other sectors. You will have many job opportunities all over the world. After completing the course, you will be hired by the following companies: Flipkart, Amazon, Walmart Labs, The Smart Cube, Google, Linkedin, Microsoft, Accenture, Automatic Data Processing, Yahoo, HSBC, etc.

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