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Data Science Masters Program

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Extensive Program with 13 Courses View all
250+ Hours of Interactive Learning
6+ Projects and 50+ Assignments
The capstone project will provide you with a business case. You will need to solve this by applying all the skills you’ve learned in the courses of the master’s program.

Edureka's Data Science Course, crafted by industry experts, imparts deep knowledge of data science principles. Through hands-on projects, participants gain practical experience in designing machine learning models, analyzing data with Python, and making data-driven decisions. Develop advanced data science solutions tailored to organizational needs. Join Edureka today to take your first steps toward becoming a globally recognized data scientist!


  • Hands-on experience through multiple real-life projects
  • In-depth knowledge by Industry experts and experienced professionals
  • Interactive live classes, peer interaction, and 24/7 support
  • Nasscom Accredited Certificate Upon Completion of Course

As per Indeed.com, the average salary for a Data Scientist is $139,163 per year in the United States.

You Will Learn

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 skills.

View Curriculum

Data Science Course Review

Our Masters Program Alumni work for amazing companies

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My career got a boost after learning Data Science from Edureka.

Edureka's Data science Masters program provided me with a very good mixture of theoretical and practical training. After completion of the course, I got to work on many POC'S and projects that led to a decent pay hike too. Edureka's training was very informative and practical and the assignments very useful. I can safely say that signing up for Edureka's Data Science training has been a career-changing decision.

I gained confidence to make a career leap to Data Science after this course

I had a wonderful learning experience with Edureka. Not only did I get exposed to Data Science, but I was also able to learn related technologies that helped me in my career. The course also gave me an edge over other candidates when I was looking for a job change and helped me ace my interviews. I am now planning to shift my career to Data Science and Edureka's course has given me the knowledge and confidence to make this career leap.

Edureka is my go-to resource for learning hot technologies such as Data Science and Big Data

Edureka's courses in Big Data and Data Science have helped me excel in my career as a Big Data Developer. I have been able to build expertise in Hadoop and Big Data which has helped me stay up to date with current market trends. This has in turn given me confidence to weather all changes in the industry and build a foolproof skill base.

I have been able to build an arsenal of skills in Data Analytics after completing the course at Edureka

Edureka's Data Analytics with R course has helped me build my career in trending technology. I have benefited a lot from this course and gained practical knowledge of the technology. I am now equipped to shift my career from Network Engineer to Big Data Engineer, thanks to Edureka.

Edureka's Data Analytics with R course helped me take a big step towards my dream career path.

I took up the Data Analytics with R courses at Edureka to explore better career opportunities in Big Data. The course has lived up to its promise and helped me progress from a novice learner to a programmer with a good handle over data analytics. I will be making a career shift in the future and I am confident about achieving my dream career.

Data Science Course Syllabus

Python Statistics for Data Science Course

SELF PACED

The Python Statistics for Data Science course is designed to provide learners with a comprehensive understanding of how to perform statistical analysis and make data-driven decisions. Through a series of interactive lessons and hands-on exercises, you will learn how to conduct hypothesis testing, perform regression analysis, and many more. This course is ideal for anyone looking to enhance their data science skills and gain a deeper understanding of statistics. This course will provide you with the knowledge you need to succeed in the rapidly growing field of data science.

  • WEEK 3-4
  • 6 Modules
  • 12 Hours
  • 5 Skills
Watch Course Recording
Python Statistics for Data Science Course
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Data Science with Python Certification Course

LIVE CLASS

Edureka's Data Science with Python Certification Course is accredited by NASSCOM. It will help you master important Python programming concepts such as data operations, file operations, object-oriented programming, and various Python libraries such as Pandas, Numpy, and Matplotlib essential for Data Science. This course is well-suited for professionals and beginners. This training will introduce you to different types of Machine Learning, Recommendation Systems, and other relevant concepts to kickstart your Data Science career.

  • WEEK 6-7
  • 16 Modules
  • 36 Hours
  • 7 Skills
Watch Course Recording
Data Science with Python Certification Course
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PySpark Certification Training Course

LIVE CLASS

Edureka's PySpark certification training is curated by top industry experts to help you master the skills required to become a successful PySpark developer. This certification course covers Apache Spark, Machine Learning, Spark RDD, Spark SQL, Spark MLlib, Spark Streaming, HDFS, Flume, Spark GraphX, and Kafka for building data-intensive applications.Our online training is instructor-led and enables you to master key PySpark hands-on demonstrations.

  • WEEK 6-7
  • 12 Modules
  • 36 Hours
  • 6 Skills
Watch Course Recording
PySpark Certification Training Course
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Artificial Intelligence Certification Course

LIVE CLASS

Edureka's advanced AI training course is designed by industry experts to help you prepare AI Engineer, Data Scientist, NLP Engineer, etc. The objective of this Artificial Intelligence training course is to help learners improve their Computer Vision, Text Processing skills, etc. AI certification course will help you understand various concepts like OS Module, Setting the NLTK Environment, POS Tagging, etc.

  • WEEK 8-9
  • 18 Modules
  • 42 Hours
  • 7 Skills
Watch Course Recording
Artificial Intelligence Certification Course
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Tableau Certification Training Course

LIVE CLASS

Tableau certification training covers in-depth knowledge of Tableau Prep Builder, Tableau Desktop, Charts, LOD expressions, Tableau Online, etc. This Tableau training will help you master the Business Intelligence tool, Data Visualization, and reporting.

  • WEEK 6-7
  • 11 Modules
  • 36 Hours
  • 7 Skills
Watch Course Recording
Tableau Certification Training Course
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Free Elective Courses along with learning path

VIEW FREE COURSES
Self Paced

SQL Essentials Training

VIEW CURRICULUM
Self Paced

R Programming Certification Training

VIEW CURRICULUM
Self Paced

R Statistics for Data Science Course

VIEW CURRICULUM
Self Paced

Data Science with R Programming Certification Training Course

VIEW CURRICULUM
Self Paced

Python Programming Certification Course

VIEW CURRICULUM
Self Paced

Scala Essentials

VIEW CURRICULUM
Self Paced

MongoDB® Training And Certification

VIEW CURRICULUM
Self Paced

Data Warehousing

VIEW CURRICULUM

Program Fees

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-
1,499 3,000
Your total savings: 1,501
No Cost EMI Available, Starting from 167/mo.
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To make this a No Cost EMI offer
The interest amount will be discounted from the price of your order. You will be charged for the item price minus the discounted interest.
See Course Bundle
  • Python Statistics for Data Science Course
    119
  • Data Science with Python Certification Course
    599
  • PySpark Certification Training Course
    449
  • Artificial Intelligence Certification Course
    499
  • Tableau Certification Training Course
    499
+8 Free Elective Courses 835

Financing Options

Financing options available without any credit/debit card. The interest amount will be discounted from the price of the course and will be borne by Edureka. You will be charged the course price minus the interest.

Click on View More to avail. Conditions Apply.

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Capstone Project

Data Science Master Program Capstone Project

Build a Machine Learning Model to predict whether an owner will initiate an auto insurance
claim in the next year. For this to be effective, the past data of all owners and other claims need
to be utilized to make the most probable prediction.

Masters Course Certification

Edureka’s Certificate Holders work at companies like :

wipro icon honeywell icon cisco icon vmware icon dell icon
certificate
John Doe
Data Scientist
Python Statistics for Data Science Course Data Science with Python Certification Course PySpark Certification Training Course Artificial Intelligence Certification Course Tableau Certification Training Course Data Science Master Program Capstone Project
XYZ1234 31st Jul 2024
The Certificate ID can be verified at www.edureka.co/verify
to check the authenticity of this certificate

Data Science Course Features

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As per your convenience

Weekday or weekend; morning or evening. Multiple options for everyone.

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Never miss a class

You can always switch to another batch, depending upon your availability.

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24x7 Support

Resolved All Your Doubts Instantly, get One-On-One Learning Assistance Round The Clock.

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Lifetime Access

You'll have the keys to all our presentations, quizzes, installation guides. All for a lifetime!

Job Outlook

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11.5 Million Career Opportunities estimated for experienced Data Scientist by 2026 in the IT industry across the globe.

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

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28 % Annual Growth in job opportunities for data scientists, data developers and data engineers, across the globe.

    Top Industries
  • Information Technology
  • Finance
  • Healthcare
  • E-commerce
  • Retail
  • Manufacturing
  • Energy and Utilities
  • Marketing and Advertising
  • Transportation
  • BFSI
    Job Titles include
  • Data Scientist
  • Data Analyst
  • Principal Scientist
  • Machine Learning Engineer
  • AI Engineer

FAQs

Data Science Training Course FAQ's

Data scientists are professionals who apply skills from statistics, programming and machine learning to analyse and interpret complex datasets. Their focus includes finding patterns within them; building predictive models to predict future behavior; deriving insights that inform business decisions; as well as providing important business decisions with additional context and advice from their findings.

Data Science Course Masters Program is a structured learning path recommended by leading industry experts and ensures that you transform into a proficient Data Scientist. Being a full-fledged data scientist requires you to master multiple technologies, and this program aims to provide you with in-depth knowledge of the entire data science practice. Individual courses at Edureka focus on specialization in one or two specific skills; however, if you intend to become a master in Data Science, then this is your go-to path to follow.

Data science offers an exciting career choice with high demand, financial rewards, and intellectual stimulation that has an immediate and tangible effect on businesses and society. Combining analytical abilities with solving real-world problems through data this career choice combines analytical skill development with solving real-world issues through data.

There are no prerequisites for enrollment to this Data Science Course 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 master's program is designed and developed to accommodate various professional backgrounds.

Data Science Training Course 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 many topics to ensure you become a proficient data scientist. Here is the Data Science Course syllabus Topics

  • 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.

    • Data scientist's primary responsibilities include:

  • Collecting, cleaning, and analyzing data.
  • Developing predictive models.
  • Communicating insights.
  • Collaborating with other teams.
  • Staying up-to-date with industry trends.
  • Guaranteeing data security and privacy.
  • Experimentation of new tools and techniques.

    • Edureka’s Data Science Course is a thoughtful compilation of Instructor-led and Self-paced Training Program, allowing the learners to be guided by industry experts and learn skills at their own pace.

    Yes! You can be enrolled in multiple other Instructor-led or Self-paced courses offered by Edureka. This is the advantage of learning with us - “Flexible Schedule”. You can select the batches that allow you to make the best of your learning journey without the fear of overlapping or missing classes.

    The recommended duration to complete this Data Science Course is 34 weeks. However, each individual can complete this program at their own pace.

    As soon as you enroll, all the 13 courses mentioned in the Data Science Course Syllabus will be added to your account. Edureka provides its learners with immediate and lifetime access to every course, which is a part of the Data Science Course.

    No, we do not enforce an order of course completion. Our Data Scientist Course Masters Program recommends the ideal path for becoming a Data Scientist, however, it is the learner's preference to complete the courses in any order they intend to.

    The eligibility criteria for data science certification typically include a bachelor's degree in a relevant field, proficiency in programming languages, understanding of statistical methods, and completion of specific exams or projects. Continuous learning through online Data Science course and boot camps and staying updated with the latest trends are also recommended for aspiring data scientists.

    Data science is an extremely promising career choice with vast opportunities for career growth and development in the coming years. Presently, there is a high demand for data scientists, with competitive salaries and numerous perks. This is why LinkedIn has described data science as the "most promising career" while Glassdoor has rated it as the "best job in America."

    The Data Science training is for those who want to fast-track their data science career. This Data Science Training Masters Program will benefit the people working in the following roles:
    • Freshers
    • Engineers
    • IT professionals
    • Business analysts
    • Data analysts

    On completing this Data Science Training, you’ll be eligible for the roles like: Data Scientist, Data Analyst, Machine Learning Engineer, Data Engineer, Business Intelligence Analyst, AI Engineer and many more.

    Yes, You will get lifetime access of study materials for your Data Science Training Masters course. You can access it anytime from anywhere.

    Here is the list of Courses offered by Edureka. Data Science with Python Course ChatGPT Course Artificial Intelligence Course

    According to payscale, the average salary for a Data Scientist can range from 6 lakhs to 20 lakhs per annum in India and $80,000 to $150,000 per year in the US.

    This Data Science Course Masters Program Is designed to meet the requirements of both working professionals and freshers. Yes, this online Data Science course is suitable for freshers if you have basic knowledge of Python, Statistics, Database. etc., it will be an advantage for you to follow up on our course easily. Edureka’s highly skilled trainers explain everything and make it easy to understand the concepts and resolve all your queries.

    The cost of Data Science Online training is INR 130,450, but you can get it at a discounted price of INR 89,999. Unfortunately, this offer is limited. If you would like to confirm, please check the website. Additionally, no-cost EMI and other financial options are available.

    Coding is essential for data science. Data scientists use code to clean, prepare, and analyze data. They also use code to develop and deploy machine learning models. Coding skills allow data scientists to automate tasks, build custom tools, and work with large datasets.

    Yes, Edureka provides a Data Science course with placement assistance. The Data Science course covers data science concepts, along with practical, hands-on projects to enhance your skills​​. Additionally, Edureka offers placement support by helping them in creating resume building. This service aims to prepare learners for job interviews and secure up to five interviews​. Edureka’s placement assistance is designed to train learners on the most in-demand skills, making them ready for industry challenges and job opportunities​

    You must complete the required coursework, assignments, and exams to unlock the Data Science course. You will receive a course completion certificate from Edureka upon completing all the courses.

    Edureka primarily offers its courses online, which allows you to access their Data Science courses from anywhere, including your location. They provide a flexible learning experience with live instructor-led sessions and self-paced learning options, making it convenient to take the course from the comfort of your home or any location with internet access.

    Python and R are widely utilized programming languages used for data science. Python's simplicity, readability, and expansive libraries like NumPy, Pandas, and sci-kit-learn make it especially well-suited to data manipulation, analysis, and machine learning applications. R is also widely used, especially in academia and statistical analysis, offering comprehensive statistical modeling and data visualization packages. Both languages have their strengths and are commonly used in the data science community.

    The time required to become a Data Scientist can vary based on individual circumstances, such as prior knowledge, educational background, available time for learning, and the depth of skills desired. Becoming proficient in data science typically takes several months to several years.

    Yes, you can study Data Science after completing the 12th grade. While many advanced data science programs and degrees require a background in mathematics, computer science, or a related field typically acquired during a bachelor's degree, there are several introductory courses and certifications you can pursue right after high school to start your journey in Data Science.

    Steps to Study Data Science after the 12th:

    • Step-1: Enroll in Edureka Data Science Online Course.
    • Step 2: Choose a bachelor's degree in Computer Science, Statistics, Mathematics, or a related field.
    • Step 3: Learn Programming Languages used in Data Science such as Python, R, SQL, and tools like Hadoop and Spark.
    • Step 4: Engage in internships, online projects, and hackathons to gain practical experience.
    • Step 5: Obtain certifications in specific areas of data science.
    • Step 6: Develop skills in data visualization, machine learning, and data manipulation.

    Both data science and data analytics are equal. Both fields are in high demand and offer rewarding careers. Data scientists generally have a higher level of technical expertise than data analysts. Data analysts focus on collecting, cleaning, and analyzing data to provide business insights. Data scientists use their technical expertise to develop and deploy machine learning models to crack complex business problems.

    Here are some of the primary data science concepts that beginners should know:

  • Data types and structures
  • Data cleaning and preparation
  • Exploratory data analysis
  • Statistical modeling
  • Machine learning
  • Data visualization
  • Data communication

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