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Codeout's Masters in Data Science

At Codeout, we offer a comprehensive Masters in Data Science program that provides students with a deep understanding of data science concepts and techniques. Our program covers a broad range of topics, including statistics, machine learning, data visualization, big data technologies, and more. Students will learn to apply these concepts to real-world problems through hands-on projects and case studies, gaining practical experience in areas such as predictive modeling, data mining, and natural language processing. Our program is taught by experienced industry professionals and academic experts, ensuring that students receive a well-rounded education that prepares them for success in a variety of data science roles.

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Data Science Training Course Overview

“At Codeout.in, we believe that Data Science is a powerful tool for discovering insights and protecting companies from fraud. That’s why we’re proud to offer industry-leading Data Science Training to help students gain experience and enhance their skills in this growing field.

Our Data Science Certification program includes:

  • In-depth training in machine learning, AI, deep learning, Big Data Hadoop, Tableau, and more.

  • The skills and confidence to manage complex business requirements.

  • A comprehensive understanding of computer science, data visualizations, data analytics, and related topics.

  • The ability to establish yourself as a successful Data Scientist and earn a competitive salary.

  • Opportunities to improve your intellectual, communication, and analytical skills.”

In this advanced certification program, you will learn 12 data science courses along with multiple case studies and project work.

Online Instructor-led:

  • Course 1: Fundamentals of Python & Linux
  • Course 2: Git
  • Course 3: Python for Data Science
  • Course 4: Advanced Statistics
  • Course 5: Machine Learning & Prediction Algorithms
  • Course 6: Data Science with PySpark
  • Course 7: AI and Deep Learning through Tensorflow
  • Course 8: MLOps
  • Course 9: Data Visualization using Tableau

Apart from the live classes, you will have electives in a self-paced format:

Data Analysis with Excel, Data Wrangling with SQL, NLP, and its applications.

With the increase in the need for data-driven solutions for business organizations, there is a rapid increase in the requirement for data scientists with appropriate Data Science skills.

This Data Science training online will help you become proficient in Data Science, R programming language, Data Analysis, Big Data, and more. This certification can quickly accelerate your career in this evolving domain and take it to the next level.

  • The average annual salary of Data Scientists as per Indeed is US$122,801 in the United States.
  • Data Scientist is the best job in the 21st century — Harvard Business Review
  • The number of jobs for all data professionals in the United States will increase to 2.7 million — IBM
  • Global Big Data market achieves US$122 billion in sales in 6 years — Frost & Sullivan

In the United States, the average salary of a Data Scientist is US$112,957. The average salary of Data Scientists in India is ₹853,191.

  1. Understand the Problem: Data Scientists should be aware of the business pain points and ask the right questions.
  2. Collect Data: They need to collect enough data to understand the problem at hand, and better solve it in terms of time, money, and resources.
  3. Process the Raw Data: We rarely use data in its original form, and it must be processed, and there are several ways to convert it into a usable format.
  4. Explore the Data: After processing data and converting it into a usable form, Data Scientists must examine it to determine the characteristics and find evident trends, correlations, and more.
  5. Analyze the Data: To understand the data, they use various tool libraries, such as Machine Learning, statistics and probability, linear and logistic regression, time series analysis, and more.
  6. Communicate Results: At last, results must be communicated to the right stakeholders, laying the groundwork for all identified issues.

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

Not sure? Talk to our advisors

Skills Covered

Tools Covered of Masters in Data Science

Course Curriculum for the Masters in Data Science program

About your Data Science Certification Training

Python Statistics for Data Science

This module offers knowledge to introduce you to the basic principles based on statistical methods and procedures followed in data analysis. This course will help you to understand the work process involved with summarizing the data, data storage, visualizing the data results, and a hands-on approach with statistical analysis with python

Data Analysis and Visualization

This module will help you to explore the query language SQL and its integration with My SQL to query the database. This module will help you to understand SQL access through data and the method to update and manipulate the data stored in the database. You will learn basic and advance concepts of MY SQL with complete practical exposure.

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 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

Like the curriculum? Get started

Codeout® Training Certification

About your Masters in Data Science Training

Codeout.in offers globally recognized training programs that provide participants with a certification upon successful completion. These certificates are widely accepted and acknowledged worldwide.

At Codeout.in, 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 Codeout.in, 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 Codeout.in, 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 Codeout.in, 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.

The Certificate ID can be verified at www.codeout.in/verify to check the authenticity of this certificate

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 Data Science Certification Training..

Our Masters Program Alumni work for amazing companies

FAQs

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 Codeout.in, 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 Codeout.in 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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