Post Graduate Program in Data Science

Data science: Why?

One of the fields in technology with the highest growth is data science. According to IDC, data will have increased significantly over the last ten years and will total 175 zettabytes by 2025. Big Data investment is expected to increase from $41 billion in 2019 to $116 billion in 2027, according to Fortune Business Insights.

Businesses large and small throughout the world, including Amazon, Microsoft, LinkedIn, and Facebook, are searching for experts who can manage their data effectively and derive business insights. The average yearly increase in hiring for data scientists over the next five years will be 37%. By 2029, there will be a 31% increase in the number of Data Scientist positions, resulting in an anticipated 3 million new positions for Data Science and Analytical roles.

Data scientists get high salaries as a result of this high demand. They average $123,000 and range from $86,000 in the lowest quintile to $157,000 in the highest. Data analysts get average pay of $75,200 while AI/ML engineers make an average salary of $149,800. Data science jobs need a variety of skill sets.

The benefits of this program

This program offers a thorough curriculum with a learning path that is matched with industry needs. It includes integrated laboratories and practical projects so that you may get experience as you study. Through its online live virtual classrooms with peer and teacher interaction, it goes well beyond self-paced learning. While remaining adaptable to your lifestyle and schedule, it may be finished in a year with five to ten hours a week of work.

This data science course consists of a culminating Capstone Project, 25+ hands-on Projects, and Integrated Labs across three domains. The student receives industry-recognized IBM credentials after successfully completing the courses.

Why This Program Is Successful

The whole data science training course is provided using the Online Bootcamp methodology, giving you the ability to quickly pick up the skills you need for the best Data Science positions available today. This comprises:

  • Actual Sessions Delivered by Renowned Specialists
  • Training for Employment Using Skill-Based Learning
  • Through interactive labs and projects, applied to learn
  • Learning in Cohorts and Peer Collaboration
  • 24/7 Support for Learning

What Makes This Program Unique

The data science certification contains a thorough learning route that covers all necessary data science abilities. Courses consist of:

  • Writing R code, using R data structures, and developing your own functions for data science
  • R programming and data science: applicability in the actual world and practical experience
  • For data science, use Python a programming language created by IBM
  • Python with Data Science: Python-based data science and analytics approaches
  • Computer learning: supervised, unsupervised, and practical modeling
  • Building visuals, managing data, and creating dashboards using Tableau
  • Natural Language Processing: Natural Language Toolkit for Python: Basics of Natural Language Processing (NLTK)
  • Data Science Capstone: a practical, industry-relevant project that integrates all of the courses into a capstone that is suitable for a portfolio
  • Electives: Purdue University's Academic Master Class with Industry a Master's Class 

You will study the following data science tools, libraries, and languages in the program:

  • Python and its computational libraries NumPy and SciPy
  • Pandas 
  • Pandas 
  • R

Leading data scientists who have practical industry expertise are the lecturers for all of this.

How to Register

For the Post Graduate Program in Data Science, you must meet the following requirements:

A fundamental grasp of mathematics and programming principles

A bachelor's degree with a minimum grade of 50% (GPA of 2.0 or higher)

It would be ideal to have two or more years of job experience, but it is not necessary.

So come and join this data scientist certification.

What is Correlation - Data Science Terminologies


What is Cross Entropy - Data Science Terminologies



Comments

Post a Comment

Popular posts from this blog

9 Skills You Need to Become a Data Modeler in 2021

What is data modeling, and what are its effects? Data modeling computes how an organization manages the data flow in and out of the database management system. Because it is responsible for making space needed for your data, data modeling is one of the most critical parts of a large data project. Modeling data structure space for your data and maintaining factors related to your data environment live in the run. In short, data modeling is data management in an organization. Decisions regarding data modeling require early access to data collection. It's up to the organization to decide what story will be told by every data to be said, and for the data to inform the perfect level, it needs to be modeled perfectly. Many software applications utilize the data modeling process to provide the most seamless customer experience. With a culture that changes the world, the data you hold must change in the way that best suits the final customer's needs. Ensuring the perfect customer exper
Read more

Why DataMites Institute for Data Science Course in Pune

Image
Data science is a rapidly growing field that has seen an increasing demand for skilled professionals in recent years. With the IT industry booming in Pune, there is a huge demand for data scientists who can help businesses gain insights and make data-driven decisions. If you are looking to pursue a career in data science, choosing the right institute is crucial. In this article, we will discuss why DataMites Institute is an excellent choice for a data science course in Pune. DataMites Institute is a leading institute for data science courses in Pune . The institute offers a comprehensive data science curriculum that covers all the essential concepts and tools required for a successful career in data science. The institute's courses are designed to equip students with the latest skills and knowledge in data science, machine learning, and artificial intelligence. If you are looking for Data Analytics Course in Pune . Now, DataMites is providing data analytics training. One of the key
Read more

4 Types Of Data Analytics To Improve Decision-Making

 Suppose you are on the CSE Stack portal. In that case, there is a good chance that you already know well with general terms such as 'data analytics,' 'big data,' and 'business intelligence leads to various things in different circumstances. But do you think what will be the right BI platform to hack several solutions to business success? In this article, we will criticize the term 'analytic data' by breaking it into four different types and harmonizing it with the aim of decision making. Descriptive Analytics: What happened? The most common types of general analysis, descriptive analytics, offer a comprehensive view analyst on the metrics and main steps in an organization. It analyzes available data in real-time and historically to gain meaningful insights into the future of a company. The main objective of this primary type of analysis is to find reasons behind magnificent successes or failures in the past.  Diagnostic Analytics: What makes it happen? Afte
Read more