About Data Science Certification Course

  • About the Data Scientist Master's program developed in collaboration with IBM

    IBM is the second-largest Predictive Analytics and Machine Learning solutions provider globally (source: The Forrester Wave report, September 2018). A joint partnership with Simplilearn and IBM introduces students to integrated blended learning, making them experts in Artificial Intelligence and Data Science. The Data Science course in Augusta in collaboration with IBM will make students industry-ready for Artificial Intelligence and Data Science job roles.

     

    IBM is a leading cognitive solutions and cloud platform company, headquartered in Armonk, New York, offering a plethora of technology and consulting services. Each year, IBM invests $6 billion in research and development and has achieved five Nobel prizes, nine US National Medals of Technology, five US National Medals of Science, six Turing Awards, and 10 Inductions in the US Inventors Hall of Fame.

     

    What can I expect from these Data Science courses developed in collaboration with IBM?

    Upon completion of this Data Scientist online Master's program, you will receive the certificates from IBM(for IBM courses) and Simplilearn for the courses in the learning path. These certificates will testify to your skills as an expert in Data Science. You will also receive the following:

    • Access to IBM cloud platforms featuring IBM Watson and other software for 24/7 practice
    • Industry-recognized Data Scientist Master's certificate from Simplilearn

  • What are the learning objectives?

    Data Scientist is one of the hottest professions. IBM predicts the demand for Data Scientists will rise by 28% by 2020. Simplilearn's Data Science course in Augusta co-developed with IBM encourages you to master skills including statistics, hypothesis testing, data mining, clustering, decision trees, linear and logistic regression, data wrangling, data visualization, regression models, Hadoop, Spark, PROC SQL, SAS Macros, recommendation engine, supervised, and unsupervised learning and more.

     

    This Data Scientist Master’s program covers extensive Data Science training, combining online instructor-led classes and self-paced learning co-developed with IBM. The program concludes with a capstone project designed to reinforce the learning by building a real industry product encompassing all the key aspects learned throughout the program. The skills focused on in this program will help prepare you for the role of a Data Scientist.

  • Why be a Data Scientist?

    A Data scientist is the top ranking professional in any analytics organization. Glassdoor ranks Data Scientists second in the 50 Best Jobs for 2021. In today’s market, Data Scientists are scarce and in demand. As a Data Scientist, you are required to understand the business problem, design a data analysis strategy, collect and format the required data, apply algorithms or techniques using the correct tools, and make recommendations backed by data.

  • What important skills you will learn with this Data Science course in Augusta?

    • Gain an in-depth understanding of data structure and data manipulation
    • Understand and use linear and non-linear regression models and classification techniques for data analysis
    • Obtain an in-depth understanding of supervised and unsupervised learning models such as linear regression, logistic regression, clustering, dimensionality reduction, K-NN, and pipeline
    • Perform scientific and technical computing using the SciPy package and its sub-packages such as Integrate, Optimize, Statistics, IO, and Weave
    • Gain expertise in mathematical computing using the NumPy and Scikit-Learn packages
    • Understand the different components of the Hadoop ecosystem
    • Learn to work with HBase, its architecture, and data storage, learning the difference between HBase and RDBMS, and use Hive and Impala for partitioning
    • Understand MapReduce and its characteristics, plus learn how to ingest data using Sqoop and Flume
    • Master the concepts of recommendation engine and time series modeling and gain practical mastery over principles, algorithms, and applications of machine learning
    • Learn to analyze data using Tableau and become proficient in building interactive dashboards

  • What projects are included in this Data Science course in Augusta?

    This Data Science course in Augusta includes 15+ real-life, industry-based projects on different domains to help you master concepts of Data Science and Big Data. A few of the projects that you will be working on are mentioned below:

     

    Capstone Project:

    Description: You will go through dedicated mentor classes in order to create a high-quality industry project, solving a real-world problem leveraging the skills and technologies learned throughout the program. The capstone project will cover all the key aspects of data extraction, cleaning, and visualization to model building and tuning. You also get the option of choosing the domain/industry dataset you want to work on from the options available.
    After successful submission of the project, you will be awarded a capstone certificate that can be showcased to potential employers as a testament to your learning.

     

    Project 1: Products rating prediction for Amazon

    Domain: E-commerce

    Amazon, one of the leading US-based e-commerce companies, recommends products within the same category to customers based on their activity and reviews on other similar products. Amazon would like to improve this recommendation engine by predicting ratings for the non-rated products and add them to recommendations accordingly.

     

    Project 2: Improving customer experience for Comcast

    Domain: Telecom

    Description: Comcast, one of the leading US-based global telecommunication companies wants to improve customer experience by identifying and acting on problem areas that lower customer satisfaction if any. The company is also looking for key recommendations that can be implemented to deliver the best customer experience.

     

    Project 3: Attrition Analysis for IBM

    Domain: Workforce Analytics

    Description: IBM, one of the leading US-based IT companies, would like to identify the factors that influence the attrition of employees. Based on the parameters identified, the company would also like to build a logistics regression model that can help predict if an employee will churn or not.

     

    Project 4: Predict accurate sales for 45 stores of Walmart, one of the leading US-based leading retail stores, considering the impact of promotional markdown events. Check if macroeconomic factors like CPI, unemployment rate, etc. have an impact on sales.

    Domain: Retail

    Description: Walmart runs several promotional markdown events throughout the year. The markdowns precede prominent holidays, such as the Super Bowl, Labour Day, Thanksgiving, and Christmas. The weeks including these holidays are weighted five times higher in valuation than non-holiday weeks. The business is facing a challenge due to unforeseen demand, resulting in stocks running out at times due to inaccurate demand estimation. The macroeconomic factors like CPI, Unemployment Index, etc. also play an important role in predicting the demand, but the business hasn’t been able to leverage these factors yet. As a part of this project, create a model to highlight the effects of markdowns on holiday weeks.


    Project 5: Learn how leading Healthcare industry leaders make use of Data Science to leverage their business.

    Domain: HealthCare

    Description: Predictive analytics can be used in healthcare to mediate hospital readmissions. In healthcare and other industries, predictors are most useful when they can be brought into action. However, historical and real-time data alone are worthless without intervention. More importantly, to judge the efficiency and value of forecasting a trend and ultimately changing behavior, both the predictor and the intervention must be integrated back into the same system and workflow where the trend originally occurred.

     

    Project 6: Understand how Insurance leaders like Berkshire Hathaway, AIG, AXA, etc. make use of Data Science by working on a real-life project based on Insurance.

    Domain: Insurance

    Description: The use of predictive analytics has increased greatly in insurance businesses, especially for the biggest companies, according to the 2013 Insurance Predictive Modeling Survey. While the survey showed an increase in predictive modeling throughout the industry, all the respondents from companies that write over $1 billion in personal insurance employ predictive modeling, compared to 69% of companies with less than that amount of premium.


    Project 7: See how banks like Citigroup, Bank of America, ICICI, HDFC, etc. make use of Data Science to stay ahead of the competition. 

    Domain: Banking

    Description: A Portuguese banking institution ran a marketing campaign to convince potential customers to invest in a bank term deposit. Its marketing campaigns were conducted through phone calls, and sometimes the same customer was contacted more than once. Your job is to analyze the data collected from the marketing campaign.

     

    Project 8: Learn how Stock Markets, such as NASDAQ, NSE, and BSE leverage Data Science and Analytics to arrive at consumable data from complex datasets.

    Domain: Stock Market

    Description: You need to import data using Yahoo data reader of the following companies: Yahoo, Apple, Amazon, Microsoft, and Google. Perform fundamental analytics including plotting closing price, plotting stock trade by volume, performing daily return analysis, and using pair plot to show the correlation between all the stocks.

     

    Project 9: See how Data Science is used in the field of engineering by taking up this case study of MovieLens Dataset Analysis.

    Domain: Engineering

    Description: The GroupLens Research Project is a research group in the Department of Computer Science and Engineering at the University of Minnesota. The researchers of this group are involved in many research projects related to the fields of information filtering, collaborative filtering, and recommender systems.

     

    Project 10: Understand how leading retail companies like Walmart, Amazon, Target, etc. make use of Data Science to analyze and optimize their product placements and inventory.

    Domain: Retail

    Description: Analytics is used in optimizing product placements on shelves or optimization of inventory to be kept in the warehouses using industry examples. Through this project, participants learn the daily cycle of product optimization from the shelves to the warehouse. This gives them insights into regular occurrences in the retail sector.

  • Who should take this Data Science course in Augusta?

    The Data Science role requires an amalgam of experience, data science knowledge, and correct tools and technologies. It is a solid career choice for both new and experienced professionals. Aspiring professionals of any educational background with an analytical frame of mind are most suited to pursue the Data Science course in Augusta, including:

    • IT Professionals
    • Analytics Managers
    • Business Analysts
    • Banking and Finance Professionals
    • Marketing Managers
    • Supply Chain Network Managers
    • Beginners or Recent Graduates in Bachelors or Master’s Degree

  • What are the prerequisites for this Data Science training in Augusta?

    Professionals wishing to succeed in this Data Science course should have:

    • Basic knowledge of statistics
    • Basic understanding of any programming language

  • What type of jobs will I be suited for after completing this Data Science course in Augusta?

    As a Simplilearn learner who completes the Data Science course in Augusta, you will have the skills that will help you land your dream job in Data Science. Jobs that are ideal for data science-trained professionals include:

    • Data Analyst
    • Data Scientist
    • Analytics Manager/Lead
    • Machine Learning Engineer
    • Statistical Programming Specialist

Tools Covered

flumeNumPypandasSciPyspark.apache hbasehivepigsqoophdfshadooppythonRscala

Data Science Course Advisor

  • Ronald van Loon

    Ronald van Loon

    Top 10 Big Data and Data Science Influencer, Director - Adversitement

    Named by Onalytica as one of the three most influential people in Big Data, Ronald is also an author of a number of leading Big Data and Data Science websites, including Datafloq, Data Science Central, and The Guardian. He also regularly speaks at renowned events.

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Data Science Certification Learning Path

  • Course 1Online Classroom Flexi Pass

    Data Science with Python

    The Data Science with Python certification course provides a complete overview of Python's Data Analytics tools and techniques. Learning Python is a crucial skill for many Data Science roles. Acquiring knowledge in Python will be the key to unlock your career as a Data Scientist.

    Read More
  • Course 2Online Classroom Flexi Pass

    Machine Learning

    Ensure career success with this Machine Learning course. Learn this exciting branch of Artificial Intelligence with a program featuring 58 hrs of Applied Learning, interactive labs, 4 hands-on projects, and mentoring. With our Machine Learning Certification training, master Machine Learning Concepts required for a Machine learning certification. This Machine Learning online training will provide you the skills needed to become a successful Machine Learning Engineer today.

    Read More
  • Course 3

    Deep Learning with Keras and TensorFlow

    This Deep Learning course with TensorFlow certification training is developed by industry leaders and aligned with the latest best practices. You’ll master deep learning concepts and models using Keras and TensorFlow frameworks and implement deep learning algorithms, preparing you for a career as Deep Learning Engineer.

    Read More
  • Course 4Online Classroom Flexi Pass

    Tableau Training

    This Tableau certification course helps you master Tableau Desktop, a world-wide utilized data visualization, reporting, and business intelligence tool. Advance your career in analytics by learning Tableau and how to best use this training in your work.

    Read More
  • Course 5

    Data Science Capstone

    Simplilearn’s Data Science Capstone project will give you an opportunity to implement the skills you learned in the Data Science certification course. Through dedicated mentoring sessions, you’ll learn how to solve a real-world, industry-aligned Data Science problem, from data processing and model building to reporting your business results and insights. The project is the final step in Data Science training and will help you to show your expertise in Data Science to employers.

    Read More
  • Master's Program Certificate

  • Electives

    Data Science with R Programming

  • Electives

    Python for Data Science

  • Electives

    SQL Training

  • Electives

    Big Data Hadoop and Spark Developer OSL

  • Electives

    Industry Master Class – Data Science

Get Ahead with Simplilearn's Master Certificate

Earn your Data Scientist certificate

Our Data Scientist course is exhaustive and this certificate is proof that you have taken a big leap in mastering the domain.

Differentiate yourself with a Masters Certificate

The knowledge and Data Science skills you've gained working on projects, simulations, case studies will set you ahead of the competition.

Share your achievement

Talk about your Data Science certification on LinkedIn, Twitter, Facebook, boost your resume, or frame it - tell your friends and colleagues about it.

Data Scientist certificatein Augusta

Data Science Course Reviews

  • Pramod Bhargav

    Pramod Bhargav

    Sr. Business Data Analyst and Lead, Sunnyvale

    The trainer was entirely professional, knowledgeable, and helpful while clearing any doubts. Learning from Simplilearn was worth the money and time spent.

  • Surender Kumar Sarveshwar

    Surender Kumar Sarveshwar

    Principal Consultant at Cognizant, Tampa

    Simplilearn is the best online platform. I have completed Data Scientist certification from here. The trainers are very knowledgeable. It has a well-organized course. The method of presentation is really commendable. Kudos to Simplilearn. It's definitely going to be a long journey for Simplilearn.

  • Sateesh Kumar Chillakuru

    Sateesh Kumar Chillakuru

    Toronto

    Simplilearn is a gateway for people who want to enter into the fields of Data Science, AI or Cloud. I found this is to be one of the best online instructor-led portals, and I would definitely recommend it. After the certification, I was able to change my job role from a Hadoop Developer to a Big Data Engineer with a good salary hike.

  • Hansil Sago.

    Hansil Sago.

    Bangalore

    The material is exciting and structured. The animation in the lectures is very helpful and useful. The lecture notes are also outstanding. The way of explaining things is also great. The instructor is just excellent in everything. I highly recommend people take courses from Simplilearn.

  • Palani Somalinga

    Palani Somalinga

    Principal Business Analyst, Tokyo

    Simplilearn is an incredible platform to learn on your own, depending on your availability. All the questions raised about projects are resolved quickly, helping students to complete projects in time.

  • Deepika Vashishtha

    Deepika Vashishtha

    Dublin

    The study material provided is perfect. And you get lab access on top of that which is very important when trying to learn big data technologies. I also found the live classes very beneficial. The projects and assignments provided help us learn the concepts better. Thanks to Simplilearn.

  • Tajuddin Shaik

    Tajuddin Shaik

    Bangalore

    I enrolled in Simplilearn's course to enhance my career and it was a great experience. The courses are delivered by very qualified and experienced trainers, who provided an excellent learning experience. The courses are accessible through the Simplilearn App for any time access. Yes, and 5 Star customer service.

  • Madhukar Malali

    Madhukar Malali

    Bangalore

    It was a great learning experience with Simplilearn; I had enrolled in this course with trainer Simon Tavasoli, who has good knowledge on the subject and was very supportive in explaining the course in detail. Plus, the content on the platform covers the topic in detail – overall, an excellent learning experience with Simplilearn.

  • Sathya Raj

    Sathya Raj

    Chennai

    The best online training center for Data Science, with lots of hands-on projects. One of the critical things about Simplilearn is the self-learning content which gives you a basic idea about the topics. Moreover, we can watch videos whenever we want, since we are provided with lifetime access to self-learning videos.

  • Ankit Agarwal

    Ankit Agarwal

    Delhi

    One of the best training I have ever attended. Both the trainer's knowledge and patience are highly appreciated.

  • Mabel Wee

    Mabel Wee

    Singapore

    I encountered problems when trying to solve the projects in my Data Science class for Python. The Teaching Assistant was accommodating and provided step-by-step guidance through web chat sessions to resolve the issues.

  • Praveen kamesh

    Praveen kamesh

    Bangalore

    The course is planned in such a way that even a person with limited programming skills can learn and build a career in Data Science. The trainer’s skills are commendable. I learned Python and R and am now able to complete real-time projects with ease. Very motivating and great value for your money. Thank you, Simplilearn.

  • Ritwik Mukherjee

    Ritwik Mukherjee

    Kolkata

    Simplilearn has been instrumental in developing my understanding about coding and getting the logic right. Of course, they help you understand the mathematical ideas and logic, too, which makes learning better and more thorough.

  • Shuaib Kokate

    Shuaib Kokate

    Dubai

    Simplilearn is the best platform for e-learning. The instructors are qualified and knowledgeable and willing to help. I have started with this course, and have finished three courses in the past. I would recommend Simplilearn to my friends and colleagues.

  • Sandip Gujar

    Sandip Gujar

    Consultant, Mumbai

    I thank Simplilearn for extending full support and co-ordination during my enrollment in the “Data Scientist Course.” The mentors were extremely knowledgeable, patient and guided us wonderfully. All our doubts were cleared in class. Thanks, Simplilearn, for providing a fantastic learning platform!

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Why Online Bootcamp

  • Develop skills for real career growthCutting-edge curriculum designed in guidance with industry and academia to develop job-ready skills
  • Learn from experts active in their field, not out-of-touch trainersLeading practitioners who bring current best practices and case studies to sessions that fit into your work schedule.
  • Learn by working on real-world problemsCapstone projects involving real world data sets with virtual labs for hands-on learning
  • Structured guidance ensuring learning never stops24x7 Learning support from mentors and a community of like-minded peers to resolve any conceptual doubts

Data Science Training FAQs

  • What is Data Science course?

    In a Data Science course, you need to learn about so many concepts if you are a beginner or an intermediate. A Data Science course is a training program of around six to twelve months, often taken by industry experts to help candidates build a strong foundation in the field. Apart from the theoretical material, our online Data Science certification course includes virtual labs, industry projects, interactive quizzes, and practice tests, giving you an enhanced learning experience.

  • How do I become a Data Scientist?

    This Data Science course in Augusta co-developed with IBM will give you an insight into Data Science tools and methodologies, which is enough to prepare you to excel in your next role as a Data Scientist. You will earn an industry-recognized certificate from IBM and Simplilearn that will attest to your new skills and on-the-job expertise. The program will train you on R and Python, Machine Learning techniques, data reprocessing, regression, clustering, data analytics with SAS, data visualization with Tableau, and an overview of the Hadoop ecosystem.

  • What can I expect from this Simplilearn Data Science course developed in collaboration with IBM?

    As a part of this Data Science training in Augusta, in collaboration with IBM, you will receive the following:

    • Lifetime access to e-learning course syllabus for all of the Data Science courses included in the learning path (*only for Simplilearn courses)
    • Industry-recognized certificates from IBM*(for IBM courses) and Simplilearn upon successful completion of the program
    • USD 1200 worth of IBM cloud credits that you can leverage for hands-on exposure
    • Access to IBM cloud platforms featuring IBM Watson and other software for 24/7 practice

  • How do I enroll for the Data Scientist course in Augusta?

    You can enroll in this Data Science training in Augusta on our website and make an online payment using any of the following options:

    • Visa Credit or Debit Card
    • MasterCard
    • American Express
    • Diner’s Club
    • PayPal

    Once payment is received you will automatically receive a payment receipt and access information via email.

  • What is Data Science?

    Data science is a broad field that involves dealing with large volumes of data to uncover hidden trends and patterns and extract valuable information that aids in better decision-making. As companies are collecting massive amounts of data, they use various data science tools and techniques to build predictive models. Simplilearn’s Data Science training can help you learn all of its concepts from scratch.

  • Who is a Data Scientist?

    A Data Scientist is an individual who gathers, cleans, analyzes, and visualizes large datasets to draw meaningful conclusions and communicate them to the business leaders. The data is collected from various sources, processed into a format suitable for analysis, and fed into an analytics system where a statistical analysis is performed to gain actionable insights.

  • Why Get Certified as a Data Scientist?

    A question that I often hear from clients and colleagues is, "Why should I get a Data Science certification?" That is a fair question for most other areas of study and business. In areas such as finance or engineering, there are far more important accreditations you could and should achieve before “hanging your shingle” or trying to retool your skill set or career.

     

    Data science is a broad discipline with a few accredited cetification programs. However, many of those programs are cost-prohibitive. 

     

    “There are at least 50 Data Science certification programs by universities worldwide offering degree and diplomas in this discipline,” writes data science blogger, Zeeshan Usman. “It costs from $50,000 to $270,000 and takes one to four years of your life.”

     

    And although somewhat new in the nomenclature, data science encompasses many skills that professionals may already have acquired through work or educational experience such as:

     

    • Programming
    • Statistics and statistical modeling: Descriptive, diagnostic, inferential, predictive, prescriptive
    • Data visualization: Box plots, scatter plots, and more
    • Machine Learning and modeling: Regression classification, clustering, and more.
       

    Data scientists also need to have an understanding of and exposure to reproducibility, decision-making, and working with stakeholders and executives. So attaining a second (or third) degree may not be the best option for professionals looking to break into data science. Yet to be successful, they still need to communicate their experience, skills, and acquired knowledge to prospective employers.
     

    A Fresh Perspective 


    Put yourself in the position of a hiring manager; say her name is Paula. Paula has a couple of full-time openings for a Data Scientist. She has done a lot of research and has decided to hire at an entry-level. The person she hires will need to work with her and her staff of data scientists, business analysts, data analysts, and business intelligence developers.

     

    She has a stack of resumes to read through and she has several questions that need to be answered before she decides to set up phone interviews. However, Paula knows that curriculum vitae (CV) often do not align with the skills and experience needed for a Data Scientist position. She may see many CVs from college graduates, she may see many resumes from men and women with several years of work experience but without any practical data science experience. But since this is an entry-level position, she will likely not see any applicants with real knowledge in the field of data science.

     

    So what should Paula focus on? How should she shortlist applicants for the phone interview? How can Paula know which of the applicants has a real, proven commitment to becoming a Data Scientist? She may very well focus on the resumes that list Data Science certifications along with any pertinent business experience! And if those certification programs have compulsory projects to complete, that’s even better. You can begin to build your portfolio of data science projects before ever landing a job. 

     

    Data science is a fast-growing field. According to an article by Forbes, IBM predicts the demand for data scientists will grow by over 25 percent by 2020.  Budding Data Scientists need to get their resumes and CVs out there as soon as is practicable, but they still need to gain valuable experience with those data science skills mentioned above.  Data Science certifications are the quickest way to learn and hone the skills and techniques necessary to land that first data science job.

     

    Furthermore, Data Science certifications allow students to learn and hone skills that won’t normally be acquired through work experiences, such as exploratory analysis skills, visualization skills, and data mining/machine learning algorithms.

     

    So get your certifications in R, Python, and SQL. Or learn Hadoop or Apache Spark. Take some statistics courses. Practice everything you learn, every day.

  • Will this course help me to learn Data Science from scratch?

    Professionals who do not have any prior knowledge of the field can easily begin with this Data Science certification training as you’ll gain a thorough knowledge of the basic concepts as well.

  • Can I pursue a Data Science course after my graduation?

    Yes, this Data Science course is suitable for recent graduates as well as experienced professionals who are willing to start a career in data science. There are no specific eligibility requirements to take this course.

  • What is the total duration of this Data Science course?

    The Data Science course can be completed in around six months if you dedicate a few hours daily to learning.

  • What are the top online Data Science courses provided in this certification program?

    This comprehensive certification training incorporates the following Data Science courses:

  • How can I become eligible for this Data Science course?

    Whatever your educational background, if you have an analytical mindset and are willing to step into the world of data science, you are eligible for this Data Science course.

  • How many programming languages will I learn in this Data Science course?

    This Data Science certification training will familiarize you with programming languages like Python, R, and Scala, as well as data science tools like Apache Spark, HBase, Sqoop, Hadoop, and Flume.

  • How will I receive Data Science course material after joining?

    After you complete the payment, you will get notified of your successful enrollment through email. It will give you all the details regarding how to access the Data Science course material. Following the steps, you can go through the video lessons instantly.

  • Is Data Science a good career?

    Companies are embracing digital transformation and the growing dependency on data makes a career in data science quite promising. Businesses are accelerating their digital initiatives and data science skills will remain in high demand in the near future. Moreover, with the existing skills gap, companies are even ready to pay higher salaries to data scientists. With Simplilearn’s Data Scientist course, you can qualify for this rewarding career.

  • Is Data Science easy to learn?

    Data science is a vast field and people cannot gain expertise in it within six months or a year. Learning data science requires specialized technical skills along with knowledge of programming basics and analytics tools to get started. However, this Data Science course explains all of the relevant concepts from scratch, so you will find it easy to put your new skills to use.

  • What are the important features of Simplilearn's Data Science course?

    Simplilearn’s Data Science course is unique because of the following major features:

    • It offers more than 220 hours of interactive, live learning
    • There are capstones and over 15 real-world projects involving datasets from Amazon, Comcast, and Uber
    • It offers IIMJobs Pro Membership (India only) for six months to help you build a resume and prepare for interviews
    • You can participate in exclusive hackathons and interact with IBM experts

  • *For which all courses will I get certificates from IBM?

    Following are the list of courses for which you will get IBM certificates:

    • R Programming for Data Science
    • Python for Data Science

  • How long is this Data Science certification valid?

    The course completion certificate offered after completing this Data Scientist Master’s Program does not expire.

  • How do I earn the Master’s certificate?

    Upon completion of the following minimum requirements, you will be eligible to receive the Data Scientist Master’s certificate that will testify to your skills as an expert in Data Science.

    Course


    Course completion certificate

    Criteria
    Data Science with Python

    Required

    85% of Online Self-paced completion or attendance of 1 Live Virtual Classroom, and score above 60% in course-end assessment and successful evaluation in at least 1 project

    Machine Learning

    Required

    85% of Online Self-paced completion or attendance of 1 Live Virtual Classroom, and successful evaluation in at least 1 project

    Deep Learning with Keras and TensorFlow

    Required

    Attend 1 Live Virtual Classroom and successful evaluation in at least 1 project and score 70% for course-end assessment

    Tableau

    Required

    85% of Online Self-paced completion or attendance of 1 Live Virtual Classroom, and successful evaluation in at least 1 project

    Data Science Capstone Project

    Required

    Attendance of 1 Live Virtual Classroom and successful completion of the capstone project

  • If I need to cancel my enrollment, can I get a refund?

    Yes, you can cancel your enrollment if necessary. We will refund the course price after deducting an administration fee. To learn more, please read our Refund Policy.

  • I am not able to access the online Data Science courses. Who can help me?

    Contact us using the form on the right of any page on the Simplilearn website, select the Live Chat link, or contact Help & Support.

  • Do you provide a money back guarantee for the training programs?

    Yes, we do offer a money-back guarantee for many of our training programs. Refer to our Refund Policy and submit refund requests via our Help and Support portal.

  • Who are the instructors and how are they selected?

    All of our highly qualified Data Science trainers are industry experts with years of relevant industry experience. Each of them has gone through a rigorous selection process that includes profile screening, technical evaluation, and a training demo before they are certified to train for us. We also ensure that only those trainers with a high alumni rating remain on our faculty.

  • What is Global Teaching Assistance?

    Our teaching assistants are a dedicated team of subject matter experts to help you get certified in Data Science on your first attempt. They engage students proactively to ensure the course path is being followed and help you enrich your learning experience, from class onboarding to project mentoring and job assistance. Teaching Assistance is available during business hours.

  • What is covered under the 24/7 Support promise?

    We offer 24/7 support through email, chat, and calls. We also have a dedicated team that provides on-demand assistance through our community forum. What’s more, you will have lifetime access to the community forum, even after completion of your Data Science course with us.

  • Disclaimer
  • PMP, PMI, PMBOK, CAPM, PgMP, PfMP, ACP, PBA, RMP, SP, and OPM3 are registered marks of the Project Management Institute, Inc.