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Codeout's Professional in Data Science

At, we offer comprehensive training in Data Science and Business Analytics. Our courses cover the fundamentals of data science, including scientific methods, algorithms, and systems for extracting knowledge from structured and unstructured data. With a focus on practical application, you will learn how to analyze large volumes of data and derive valuable insights using advanced machine learning techniques.

In addition, our Business Analytics training equips you with the tools and statistical methods needed to enhance strategic decision-making within organizations. By leveraging technology and data-driven approaches, you will gain the skills to optimize business processes and drive growth.

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Data Science Training Course Overview

The data science professional training program will help you master the key skills that are necessary for becoming an expert in data science. In this course, you will learn about ML, DL, statistics, python, etc. Moreover, you will learn to develop data models for analyzing data and extracting useful/meaningful insights. You will also become proficient in performing linear and logistic regression and cluster & factor analysis. After completing the data science professional training program, you may get various types of job opportunities in big organizations. For example, you may get an opportunity to work as an:

  • Data Analyst
  • Data Scientist
  • Machine Learning Engineer
  • Marketing Analyst
  • Functional Analyst is your gateway to tap into the booming field of data science. With around 190,000 data science jobs being created annually, the demand for competent data science professionals is skyrocketing. By completing our data science professional training program, you open up a world of diverse roles and opportunities within organizations.

As a data science professional, you can explore career paths such as Data Scientist, Marketing Analyst, and Functional Analyst, among others. Companies recognize the value that data science professionals bring to the table, which is why they are willing to offer generous compensation packages.

The demand for data science experts is further highlighted by the fact that there is currently a shortage of 200,000 data science professionals globally, according to McKinsey Global Institute. Looking ahead, it is estimated that more than 15 million Data Scientist jobs will be created worldwide by the year 2026, providing immense growth potential in the field of data science.

At, we equip you with the knowledge, skills, and practical experience necessary to thrive in this rapidly evolving field. Join us to seize the abundant opportunities and build a successful career in data science.

Joining our course at will provide you with the essential skills to meet the growing demand for data science professionals. Our expert-led training ensures you acquire the necessary expertise to become a competent data scientist. With a focus on project-based learning, you’ll develop data models and gain insights from analyzing data.

By completing our data science professional training program, you guarantee yourself a fulfilling and successful career in the field. As a data scientist, you can expect a substantial remuneration, with average salaries ranging from ₹6,00,000 to ₹22,00,000 per annum.

According to a survey, the data science industry is projected to create around 11.5 million jobs by 2026, indicating the vast opportunities available. Be prepared to enter this thriving industry by enrolling in our comprehensive data science course at

Embark on a transformative journey with’s data science professional training program, designed to empower aspiring data scientists like you with comprehensive knowledge and expertise in the world of data. Immerse yourself in the fundamentals of data science, unravel the secrets of working with diverse data collection and visualization tools, and unlock the potential to become a skilled data scientist.

During the program, you will delve into the major duties and responsibilities of a data scientist, mastering the art of performing cluster and factor analysis to uncover hidden patterns and insights. Gain hands-on experience in cutting-edge technologies like Python, Machine Learning (ML), Deep Learning (DL), and more, equipping yourself with the tools necessary to navigate the dynamic data landscape.

Seize the opportunity to learn from industry experts and immerse yourself in real-world projects, sharpening your skills and developing the confidence to tackle complex data challenges. Join and unleash your potential as a data scientist, ready to make a significant impact in the data-driven world.

At, our data science professional training program has a clear objective: to transform aspiring individuals into competent data scientists. We understand the evolving demands of the data science industry, which is why our course is meticulously designed in collaboration with working data science professionals.

Throughout the program, you will delve deep into the essential concepts and skills that are crucial for success in this field. From statistical analysis to machine learning algorithms, you will gain a comprehensive understanding of the tools and techniques used by skilled data professionals.

Our engaging training sessions, led by industry experts, ensure that you receive practical, hands-on experience. You will work on real-world projects and case studies, allowing you to apply your knowledge and develop a strong foundation in data science.

Join us at to embark on a transformative journey, where you will acquire the expertise and confidence to excel as a skilled data scientist in the dynamic world of data science.

With data collection, ’the sooner, the better’ is the best answer

The world is now awash in data, and we can see consumers more cleanly -

Instructor-led Training Live Online/Offline Classes

Suitable batches for you

Course Price Starts
At INR 75000
No Cost EMI Available, Starting from 6,000/mo. See Course Bundle

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Skills Covered

Tools Covered in Data Science & Master In Data Science Training Course.

Course Curriculum for the Professional in Data Science

About your Data Science Certification Training

Data Science is a powerful analytics platform to make discoveries. By using different aspects of computer science, data visualizations, data analytics, statistics, R and Python Programming in data science, you may convert voluminous data into meaningful contents.

Data visualization is the graphical way to representation of information and data. By using visual elements like graphs, maps and charts. Data visualization tools provide an accessible easy way to see and understand the data.

Ms SQL and SQL

This course will help you to gain complete insights into the applied statistics, database systems, data preparation, and machine learning algorithms. The master in data science course will help you to gain a broad skill set to advance your career in respective fields such as data engineering, computer programming, and data architecture.

Statistics for Data Science & EDA

Machine learning courses help to understand the complete concepts behind the processing of Artificial intelligence and Computer science. With the Machine learning course, you will cover topics based on supervised and unsupervised learning along with the development of software and algorithms to extract predictions based on data.

Machine Learning

Deep learning is the most effective skill in AI. The course is intended to provide a complete foundation over the deep learning algorithms that help you to understand the process to build neural networks. The course of deep learning will help you to successfully handle the Machine learning projects needed by the organization today.

Deep Learning

Deep learning is the most effective skill in AI. The course is intended to provide a complete foundation over the deep learning algorithms that help you to understand the process to build neural networks. The course of deep learning will help you to successfully handle the Machine learning projects needed by the organization today.

Microsoft Power BI

The Power BI course assists the user to understand the way to install Power BI desktop also by understanding and developing the workshop and insights using the data. It offers tools and techniques that are used to visualize and analyze data. The course will help you to learn and grab insights on everything an organization need; to manage the data with Power BI.

Data Preparation using Tableau Prep

The organizations are based on a process that is completely data-driven. This course is intended to help you master the key concepts to examine, learn and navigate the features of Tableau. Getting upgraded with Tableau will help you to perform the exploratory analysis by creating and designing visualizations and dashboards to provide relevant information for the intended audience.

  Master’s Program Certificate

You will get a Certificate after completion of program

Course Structure

 – 6 Months Online Program
– 130+ Hours of Intensive Learning
– 9+ Assignments & 6+ Projects
– 2 Live Projects

Career Assistance

– Build an Impressive Resume
– Get Tips from Trainer to Clear Interviews
– Attend Mock-Up Interviews with Experts
– Get Interviews & Get Hired

Codeout® Training Certification

About your Data Science Certification Training offers globally recognized training programs that provide participants with a certification upon successful completion. These certificates are widely accepted and acknowledged worldwide.

At, we are proud to offer training programs that come with lifetime validity. This means that once you have completed one of our courses and received a training certificate, you will have access to it for the rest of your life.

 At, enrolling in your desired course is easy. You can simply click the “Enrol Now” button on the course page to directly enrol. Additionally, you can speak with a training advisor on WhatsApp or call to get personalized guidance. We also offer customized training programs across various domains and skills to meet your specific needs.

At, our training programs are delivered by certified industry experts who have years of experience in their relevant domains. Our global subject matter experts impart knowledge on a wide variety of training courses through one-on-one and corporate training sessions. We are committed to providing our students with high-quality, practical training that will help them excel in their careers.

At, we provide training and certification programs that can help our participants to stand out in the competitive job market. Our certification is internationally recognized, which means that our participants can showcase their skills and knowledge to employers worldwide. With our training and certification programs, participants can improve their employability and advance their career prospects.

Who can go for this Data Scientist​ Certification?

Job Outlook

About your Data Science Master Certification Training program

11.5 Million Career Opportunities

estimated for experienced Data Scientist by 2026 in the IT industry across the globe.

Salary Trend

The average salary for a Data Scientists $1,39,163 per year.

28 % Annual Growth

in job opportunities for data scientists, data developers and data engineers, across the globe.

Top Industries
Job Titles include

Our Student Testimonials

What Our Students Says About Our Professional  In Data Science Training..

Our Masters Program Alumni work for amazing companies


Data Science Training FAQ’s

Data Science is an interdisciplinary field that uses scientific and computational methods to uncover insights and knowledge from data. It combines elements of statistics, mathematics, and computer science to analyze and interpret data from a variety of sources.

By working with large and complex datasets, cleaning and transforming data, and applying statistical methods and machine learning algorithms, data scientists can create models to make predictions and derive insights. These insights are used to make informed decisions in fields such as healthcare, finance, marketing, and social media.

In healthcare, data science can be used to predict disease outbreaks, analyze patient data, and develop personalized treatments. In finance, it can be used to detect fraudulent activities, predict market trends, and optimize investment portfolios. In marketing, data science can be used to personalize user experiences and optimize marketing campaigns.

Overall, data science is a powerful tool that can help organizations optimize their operations, increase efficiency, and make informed decisions. As the amount of available data continues to grow, the applications of data science are becoming increasingly widespread, making it an exciting and in-demand field.

A Data Scientist is a skilled professional who utilizes a blend of statistics, programming, and machine learning techniques to analyze and interpret complex datasets. Their primary role involves identifying patterns, building predictive models, and deriving actionable insights that can aid in informed business decisions.

Data Scientists are responsible for collecting, cleaning, and organizing vast data sets from various sources, and then utilizing statistical and machine learning methods to analyze them. They also develop data visualization tools and dashboards to present data insights to stakeholders and help them make informed decisions.

In today’s data-driven world, Data Scientists are in high demand across industries such as finance, healthcare, retail, and technology. Typically, Data Scientists possess advanced knowledge in fields like statistics, computer science, or related areas. They are also well-versed in programming languages such as Python or R, and have expertise in machine learning algorithms and techniques.

At, we offer a Data Science Training Masters Program designed to provide a structured learning path for aspiring Data Scientists. Our program is recommended by leading industry experts and covers a wide range of technologies and practices necessary to become a proficient Data Scientist.

Unlike individual courses that focus on specialization in one or two specific skills, our program aims to provide a comprehensive understanding of the entire Data Science field. By completing our program, you will gain in-depth knowledge of statistics, machine learning, data visualization, big data technologies, and more.

Our program is designed to equip you with the skills and expertise needed to succeed as a Data Scientist. You’ll learn from experienced industry professionals and academic experts, gaining hands-on experience through practical projects and case studies.

If you’re serious about becoming a master in Data Science, then our Data Science Training Masters Program is the path to follow. Join us at to transform your career and unlock new opportunities in this rapidly growing field.

There are several reasons why someone may choose to become a data scientist:

  • High demand: Data scientists are in high demand across many industries, which means there are plenty of job opportunities available for people with the right skills and experience.
  • Competitive salary:Data scientists are generally well-compensated for their skills and expertise, with salaries that are often above average for other professions.
  • Interesting and challenging work: Data science involves working with complex data sets to derive insights and solve real-world problems. This can be both intellectually challenging and rewarding.
  • Opportunity for growth and advancement: Data science is a rapidly evolving field, with new technologies and techniques emerging all the time. This means there are plenty of opportunities for growth and advancement within the field.
  • Impactful work: Data scientists have the opportunity to make a meaningful impact by using data to solve important business problems, improve products and services, and inform strategic decisions. This can be incredibly rewarding and fulfilling work.

Data Science Training Masters Program has been curated after thorough research and recommendations from industry experts. It will help you differentiate yourself with multi-platform fluency, and have real-world experience with the most important tools and platforms. Edureka will be by your side throughout the learning journey – We’re Ridiculously Committed.

Our commitment to equip you with a 360-degree understanding of Data Science means we cover a broad array of topics to ensure you become a proficient data scientist. Topics covered but not limited to will be: Python, Statistics, Data Preparation, Data Analysis, Querying Data, Machine Learning, Clustering, Text Processing, Collaborative Filtering, Image Processing, Computer Vision, Spark MLlib, Data Visualization and many more.

There are no prerequisites for enrollment to this Masters Program. Whether you are an experienced professional working in the IT industry, or an aspirant planning to enter the world of Data Science, this masters program is designed and developed to accommodate various professional backgrounds.

The roles and responsibilities of data scientist may vary depending on the organization, but some common tasks and responsibilities include:

Collecting, cleaning, and analyzing data: Data scientists are responsible for collecting data from various sources, cleaning and preparing it for analysis, and using statistical techniques to identify trends and patterns.
Developing predictive models: Data scientists use machine learning algorithms to build predictive models that can be used to forecast future trends, identify anomalies, and make data-driven decisions
Communicating insights: Data scientists must be able to communicate complex findings to non-technical stakeholders in a clear and concise manner. This may involve creating visualizations, presentations, or reports.
Collaborating with other teams: Data scientists often work closely with other teams, such as product development, marketing, or finance, to identify opportunities for data-driven insights and solutions.
Staying up-to-date with industry trends: Data science is a rapidly-evolving field, and data scientists must stay current with new tools, techniques, and trends in order to remain competitive.
Ensuring data security and privacy: Data scientists must follow best practices to ensure that data is handled securely and in compliance with relevant regulations and privacy laws.
Experimenting with new tools and techniques: Data scientists are often encouraged to experiment with new tools and techniques to improve data analysis and modeling. This may involve exploring new programming languages, data visualization tools, or machine learning algorithms.

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