What is Data Science Course: Syllabus, Fee, Eligibility, Salary 2022

Data Science has transformed every business and gained popularity. Data is a significant asset of every business. Data Science churns the raw data available into logical insights. It helps companies to understand and improve their operational methods so that they can save both money and time. Taking a data science course trains the students to prepare to use data efficiently so that they can help organizations to reduce wastage by analyzing different market strategies and by focusing on leads that will offer high ROIs. To understand what a Data science course is all about, it is important to understand the basics of data sciences which is a vital part of this course.

About a Data Science Course?

The Data Science Course Certification is an academic program of 32 hours planned by Henry Harvin. The Data Science Course gets students and data analysts ready with the utmost skills required to use data science in real-life scenarios. It is easy to understand and is a blend of computation, theory, and application.

Data science deals with not only with coding skills but also ethical skills. Students from Data Science courses are taught how to proficiently work under different situations. Data science course that involves generation algorithms to extract, develop, visualize and find the crucial information from the raw data.

Why do a Data Science Course?

If one is planning their career with data sciences, a certified data science course is very helpful. It aims to acquaint aspirants how to track, measure, record performance metrics and analyze trends for facilitating better decision making, engage customers, enhance organizational performance, and to increase profits. Pursuing the Data Science course can benefit students by widening their scope. Let us see how

Data scientists play a vital role in healthcare. They help physicians to analyze data from trackers to make sure the patients are doing well and for taking vital decisions. They also help to reduce the waiting time and improve healthcare facilities.

Data Scientists have wide scope in the banking and financial segments for detecting fraud.

Transportation providers, Construction companies, Retail Industries also use Data Science to track daily activities, manage materials-based expenses, make better decisions, improve their customer experience and retention.

As a Data Science student one learns to analyze graphical data, chronological data, and geospatial data and draw insights. This course also helps students to understand seismic interpretation and create audience focused content.

Data Science is applicable in the community service field that includes health-related research, energy exploration, financial market analysis, environmental protection, fraud detection and more.

Eligibility

To pursue data science courses from a well-known educational institute, it is mandatory for the candidate to have a Bachelor’s degree or a Postgraduate degree in a related discipline like Economics, Mathematics, Business information systems, Information Management, Computer science, or an equivalent examination from a reputed academic institution.

Registering for Data Science Course

Registering for a Data Science course is easy. One can visit the chosen institute in person and register for the course. If one wants to register online, they can also visit the institute’s website, choose a suitable batch and then register on-line for the course by paying the desired course fee.

Institutes Offering Data Science Course

Some of the renowned institutes that offer Data Science courses in India are

Henry Harvin

Simplilearn

ExcelR

VIT

GITAM

Syllabus

Henry Harvin is counted amongst the top ranked educational institutes to pursue a Data science study in India. Below are the main areas covered in this course

Structure

Subjects Covered

Introduction to Data Science

· Understand Data Science, Data Analysis in Excel, Solving Analytics Problem

Introduction to Python Exploratory

Overview of Python Exploratory, Data Analysis Inferential Statistics Hypothesis Testing,Data Tool-Kit Data Analysis with SQL

Getting and Cleaning Data

· Components of Data Set, Collecting, Cleaning and Sharing data

Exploratory Data Analysis, Research and Statistical Inference

Understand Multivariate Statistical Techniques, Learn a number of plotting systems in diverse programming languages, Different Statistical Analysis tools, Publish Data Analysis

Regression Models and Practical Machine learning

· Regression Models and uses, Building Prediction Functions, Data collection, feature creation, Applying and Evaluating Algorithms

Career & Salary

Data scientists are amongst the highest paid employees in the companies. Because of high demand for data scientists, salaries have become competitive, with various perks making it the most promising career.