Data Science And Business Analytics Course - A Complete Guide

Posted by Academy of Continuing Education on November 9th, 2022

With approximately 2.5 quintillion bytes of data used daily, companies nowadays strive to harness actionable insights from it. This is why data science and business analytics course have become so popular among students.

According to the National Association of Software and Services Companies (NASSCOM), the Indian Big Data Analytics sector is expected to witness almost eight-fold growth to reach billion by 2025 from the current level of billion.

If you are curious about leveraging data for business analysis, enroll in a Data Science and Business Analytics course to prepare for a better tomorrow!

What Is a Data Science And Business Analytics Course?

The data science course duration is 8-12 months, depending on your chosen university. The program builds strong skills and knowledge of both technical and business aspects of data science and business analytics.

Data science and business analytics are a relatively new mixture of machine learning, computer programming, data analysis, and statistics. The program's primary focus is identifying and maintaining a record of any industry or business dataset.

Data Science and Business Analytics professionals formulate solutions to:

• Maximize revenue

• Predict future opportunities

• Improve internal capabilities

• Understand realities

• Build analysis models

• Simulate potential scenarios

• Keep an eye on competitors, etc.

Step-By-Step Admission Process for the Program

A data science and business analytics course has been demanded by most UG aspirants across India and overseas. Every university has a similar admission process. Below mentioned points will give you an idea about admission to the course -

• First, candidates must pass the previous degree from any recognized board with approximately 45-50% marks.

• After that, students must visit the official institution's website to know the further step of admission.

• Applicants need to fill out the admission form, and before submitting it, they should recheck it.

• Upload all the necessary documents that the university demands.

• Fill in the admission fees

• At last, you will get a confirmation message if you get selected for the university.

Who is a Data Science And Business Analytics Course For?

• Non-technical business analysts

• Candidates who want to learn the fundamentals of statistics

• Passionate about numbers and quant analysis

• Mid-level information technology professionals

• Software Engineers who wish to enter Data Science

• Marketing, Healthcare, or Domain-based experts who wish to use analytics.

Top Skills You Will Learn During the Course

• Predictive Analytics using Python

• Data Visualisation

• Statistics

• Predictive Modeling

• Business Problem Solving

• Machine Learning, and many more.

Learning Outcomes of Data Science And Business Analytics Course

• Sharing information with a broader audience

• Synchronizing financial and operational plan

• Boost revenues

• Realizing cost-efficiency

• Better alignment with strategy

• Improving competitiveness

• Enhance the decision-making method (quality and significance)

• Producing a single, unified outlook of enterprise information

• Increasing the decision-making process

Career Opportunities After Data Science And Business Analytics Course

Courses like data science and business analytics are in great demand by organizations in India and overseas. Every sector, such as Marketing, IT, Finance, and Banking, needs these experts to solve challenging situations and meet the organization's requirements. This is why the demand for data scientists and data analytics professionals are increasing daily. Following are some of the rewarding career options that will help you earn a handsome salary package-

Data Architect

• Define security and backup procedures.

• Provide operational support for management information systems.

• Optimize new and current database systems.

• Develop database solutions to retrieve and store organization data.

Data Engineer

• Build data systems and pipelines.

• Build prototypes and algorithms.

• Organize and analyze raw data.

• Evaluate business needs and objectives.

• Interpret trends and patterns.

• Prepare data for prescriptive and predictive modeling.

Data Scientist

• Source missing data.

• Build predictive models.

• Enhance the data collection process.

• Organize data into usable formats.

• Build machine learning algorithms.

• Collect structured and unstructured data.

Business Analyst

• Financial modeling

• Budgeting and forecasting

• Creating a detailed business analysis, outlining a business's problems, opportunities, and solutions.

Data Analyst

• Prepare reports that represent crucial information.

• Collect data from multiple sources.

• Design and maintain database systems.

• Create, update, read, and delete a database.

• Classify data in rows and columns.

Analytics Manager

• Interpersonal and time-management skills.

• Good communication and presentation skills.

• Proficient in Google Analytics and Microsoft Office Suite.

• Results-driven and able to handle multiple projects

• Proficient in business intelligence tools, dashboards, and software.

Data Visualisation Specialist

• To coordinate backup for the front desk

• To provide data entry support to superiors

• To respond and monitor email communication

• To perform time-based office work related to finance, administration, and other departments

• Schedule reviews, meetings, and conferences as and when required by the client or business.

Big Data Engineer

• Maintain a data pipeline.

• Manage and structure data.                                                                                                                                         

• Set up data-access tools for data scientists.

• Design and manage the architecture of a big data platform.

• Customize and manage integration tools, warehouses, and analytical and database systems.

Analytics Consultant

• Design and manage databases and data flows.

• Follow protocols regarding processing confidential data.

• Develop data models for process improvements.

• Provide guidance on data management and governance.

• Provide technical expertise on how to store and clean data.

After reading the article, you might have already decided to take the course and guessed which job role is best for you. A data science and business analytics course is key to businesses worldwide, so pursuing it from the best university in Delhi NCR will land you a lucrative career in this field.