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Bangalore : 964-588-0120
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Data Science Training Institute

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759-391-3000
Data Science Training Institute

Data Science Training Institute

As rightly said by Mr. Pat Gelsinger, “Data is the new science. Big Data holds the answers.”

Data is present in massive and exponentially increasing volumes everywhere. Regardless of the scale of the data being processed, data science as a whole reflects the manner in which data is discovered, conditioned, extracted, assembled, processed, analyzed, interpreted, modeled, displayed, reported on, and presented. One of the subsets of data science is “Big data.”

Data science is a complicated field, owing to the variety and quantity of academic fields and technology it employs. Mathematical expertise, strong business acumen, and technology skills come together in this subject of study. Data Science is what we call it. These lay the groundwork for Data Science and necessitate a thorough understanding of the principles in each subject.

Importance of Data Science

Businesses are using this data to learn more about customer behavior and other topics. That isn’t to suggest, however, that data science is just employed for company development. Data science is widely used in a variety of areas, including healthcare, banking, education, supply chain, and more. One of the most practical examples of data science right now is the application of data science in analyzing the COVID-19 pandemic and developing a vaccine or therapy for it. We’ve progressed from working with small pieces of structured data to enormous mines of unstructured data from a variety of sources. When it comes to processing this huge amount of unstructured data, typical Business Intelligence technologies fall short. As a result, Data Science provides more advanced tools for working with massive volumes of data from many sources.

Why one should choose a career in Data Science?

One of them is the abundance of opportunities. There is a plethora of opportunities in the subject of data science training, which are used in a variety of industries. It doesn’t matter if it’s healthcare, security, finance, or robotics. You can name a field, and data science will play a role in it in some way. Although data scientists are hardly rocket scientists, they are among the most in-demand professions in today’s job market. This is due to the massive amount of data produced every day, which means that data scientists are in high demand. However, their supply is quite inadequate. The high pay scale for data scientists is due to the demand-supply gap.

What is the need to learn Data Science?

To give you a better understanding, here are some particular reasons as to why, A Data Science Training is the best choice:

1.Job opportunities: Data science encompasses a wide range of subjects. Data Analysts, Data Engineers, Machine Learning Engineers, Data and Analytics Managers, and many other positions are available. All of these produce various results, but they are all connected.

2. Decision-making power: Data science is made up of key decision-makers, and each of their positions has a great deal of weight and credibility that cannot be overlooked. Learn how data is supporting organizations in making well-informed data-driven decisions.

3. Less Competition: The worrying skill gap between demand and supply for data science professionals gives a chance to learn and gain the upper hand in the field.

4. Improved skillset: Any career in data science necessitates significant data handling abilities. This includes an understanding of analytic abilities, mathematics, algorithms, statistics, probability, data structure, planning, visualization, predictive modeling, programming, and communication.

5. Opportunities for freelancing: Data science, which encompasses a wide range of functions, is not immune to the concept of freelancing. Instead of taking the usual route, you might offer or choose freelance work if you have solid data science knowledge and experience.

6. Progression in your career: Working knowledge and expertise in data science allow rapid advancement in your profession. In data science, the learning curve is steep, as is the growth curve. The growth rate is also notable in terms of monetary elevation.

You will almost never regret pursuing data science training as a career option, whether you are a student or a professional. The good news is that you don’t need a particularly advanced school background or degree to learn the nuances of the data science course. A bachelor’s degree would suffice. You only need a basic familiarity with any programming language and decent analytical skills to start tilting the learning curve!

 

Data Science Training Institute

Following the current trend, enrolling in an online course from the comfort of your own home is an excellent and simple method to make your mark in this field. To do so, one can enroll for the same at Etudemy, one of the best Data Science Training Institute in Kerala. Etudemy provides tailored, interactive, and innovative digital skills learning solutions for businesses, college students, and individuals.

Data science is one of the most in-demand careers today, which is why Etudemy has set up a system to give the best Data Science Training Institute in Kerala.

Etudemy has launched Kerala’s most comprehensive Data Science Training Institute in Kerala.  In this Data Science certification, the many stages of the Data Science Lifecycle are examined. This Data Science course starts with a basic understanding of statistics, probability, Python, and R programming. Data Preparation, Data Cleansing, Exploratory Data Analysis, and Data Mining will subsequently be conceptualized by the students. Also, understand how Feature Engineering, Extraction, and FeatureSelection works. Data Mining (Supervised) with Linear Regression and Predictive Modeling with Multiple Linear Regression Techniques will also be covered. You’ll also receive a certificate to show your dedication to the industry. It can help you stand out in the job market, gain recognition at work, and enhance your self-confidence. The Data Science Certificate is your ticket to a fast-track career in data science.

Let’s also provide you with some more reasons as to what will you gain after your enrollment in the best Data Science course in Kerala, at Etudemy:

  • Cutting-edge curriculum developed in partnership with industry and academia to assist students in developing job-ready skills.
  • Assured job opportunities in the field of data science.
  • Live Webinars, gratis courses, and training solutions are all included in the course package.
  • Mock Interviews and Quizzes are available indefinitely for your best preparation.
  • Practical exposure and hands-on experience in live projects.
  • A hands-on learning experience with industry leaders.
  • Support and guidance are available 24 hours a day, 7 days a week.
  • All of your learnings will be valued, thanks to certification.
  • Real-world data sets are combined with virtual labs for hands-on learning in capstone projects.
  • Both classroom and online learning options are available. As part of our curriculum, we also support e-learning.

Data Science Course Syllabus

You should review the data science course syllabus before beginning your online data science lessons. Etudemy’s data science coursework includes all of the modules you’ll need to become job-ready. This course was created with current market trends and the skills needed to become a successful data scientist in mind. When you participate in this course, you will receive one-on-one assistance from our professors as well as hands-on training. This course will also provide you with comprehensive guidance on how to approach job interviews and placements. The data science curriculum is appropriate for beginners, working professionals, and those interested in changing careers to data science. Our online data science training has benefited over 2000 students.

The course will provide you with an overview of the fundamentals of a data science profession. This course walks you through all of the key subjects you’ll need to know, such as machine learning and programming languages. Important concepts like data collecting, data mining, data processing, and data analysis are also covered.

Module 1 - Python
Module 2 – Statistics
Module 3: ANOVA and Regression
Module 4: Text Mining and Natural Language Processing
Module 5 - Big Data Analytics
Module 6: Machine learning under supervision
Module 7 - Tableau
Module 8: Soft skills
Python is the most crucial and necessary subject for every data scientist to understand. Our lecturers will walk you through the fundamentals of Python and the places where it may be applied in this segment. You'll learn how to utilize Numpy, Pandas, and Matplotlib, among other modern tools. As a result, module 1 contains – • Environment set-up • Overview of Jupyter Notebooks • Python Numpy • Python Pandas • Python Matplotlib
Working with data necessitates statistical knowledge, which is a crucial skill set to possess. This module will teach you - • Few key statistical principles to understand. • Distinction between a population and a sample. • Variables of many types. • Central tendency measures. • Variability measures. • The variance coefficient. • Kurtosis and skewness.
This course will teach you how to make a connection between two or more things. The analysis of variance, or ANOVA, is used to look at the variations between sample sets. You will discover – • Regression. • ANOVA. • R Square. • Correlation and causality.
Natural Language Processing (NLP) is used in Text Mining and Text Analytics to turn unstructured texts in databases and documents into structured data that can be evaluated or utilised to fuel machine learning algorithms. The following are some of the concepts discussed in this topic area: • Handling unstructured text data. • Tokenization and vectorization of text data. • Natural Language Processing. • Supervised & unsupervised text classification. • Sentiment analysis of social media date.
Contrary to popular belief, Big Data Analytics is an integral part of a Data Science curriculum. Students can use big data analytics to examine enormous data sets and find correlations, patterns, and other key insights. The following topics are included in this category: • Database management for relationships. • Understanding the Big Data Ecosystem • PySpark, a machine learning framework for streaming and scalability. • NoSQL system • Cloud Computing
Machine learning is an important part of any Data Science curriculum. It uses mathematics and algorithm models to show students how a machine learns and adapts to changes in the real world. This is a comprehensive curriculum that will teach you how to program machines or computers to understand human language. You will learn – • Python Scikit tool • Neural networks • Support vector machine • Logistic and linear regression • Decision tree classifier
Tableau is a business intelligence solution that allows you to visualize data.You will study the following in this lesson: • Working with Tableau • Deep diving with data and connection • Creating charts • Mapping data in Tableau • Dashboards and stories
Soft skills are a vital part of any Data Science curriculum. Developing these abilities is a necessary step on the path to becoming a Data Scientist. Let's take a look at the soft skills that must be included in your Data Science curriculum. • Critical Thinking • Curiosity. • Effective Communication. • Business savvy. • Possessing a problem-solving mindset.

Data Science Trends in the Future

By 2021, the demand for Data Scientists is expected to increase by 30%. With the introduction of Cloud and IoT technologies, data has grown at an exponential rate, resulting in an increase in data scientist employment in the fields of Machine Learning and Big Data technology. Anyone starting in the field of Data Science as a fresher can expect to earn roughly Rs. 6-8 lakhs. If he perseveres and devotes his life to data science, he could earn anything from 25 lakhs to one crore each year. IBM, Accenture, JPMorgan Chase, Amex, McKinsey & Co, Impetus, Wipro, and Microsoft are the top employers in Data Science. Accenture offers the highest annual compensation of Rs.19.6 lakhs. In the domains of agriculture, electricity, water, healthcare, education, road traffic safety, and air pollution, the Indian government has launched a number of data science projects. The Indian government has also launched a number of data science research initiatives.

Contact us today, to enroll in the Data Science Course in Kerala at Etudemy

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