Integrated Program in Big Data and Data Science - Master's Program
This master’s program is designed to help you take your first steps into the world of big data and data science. There is great demand for professionals who can turn data analysis into competitive advantage for their organizations. This learning path will train you to use development frameworks such as Hadoop, Spark & R to process huge amounts of data and thrive in your big data career.
List of Courses
  • Data Science Certification Training - R Programming
  • Big Data Hadoop and Spark Developer
  • Tableau Desktop 10 Qualified Associate Training
  • Data Science with Python
  • Machine Learning
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Price : $ 2999
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Course Description
What are the course objectives?

Mastering the field of data science begins with understanding and working with the core technology frameworks used for analyzing big data. You’ll learn the developmental and programming frameworks Hadoop and Spark used to process massive amounts of data in a distributed computing environment, and develop expertise in complex data science algorithms and their implementation using R, the preferred language for statistical processing. The insights you will glean from the data are presented as consumable reports using data visualization platforms such as Tableau.

Once you have mastered data management and predictive analytic techniques, you will gain exposure to state-of-the-art machine learning technologies. This expansive learning path will help you excel across the entire spectrum of big data and data science technologies and techniques.


What skills will you learn?

This is an all-inclusive course for big-data and data science enthusiasts. It spans all major technologies in big data, data science and reporting and visualization. This program is designed to maximize your potential at each step, so it is suggested that you follow the learning path as it is recommended to ensure a smooth transition to the end of the program. The learning path is as follows:


Step Training Objective
1 Data Science with R This course will train you in the R programming language and important statistical and predictive analytics concepts.
2 Big Data Hadoop and Spark Developer This course enables you to master the various components of Hadoop ecosystem such as Hadoop 2.7, Yarn, MapReduce, Pig, Hive, Impala, HBase, Sqoop, Flume, and Apache Spark. The course is aligned to Cloudera CCA175 certification.
3 Tableau Desktop Associate training This course will help you master the various aspects of Tableau Desktop and building visualization, organizing data, and designing dashboards. will prepare you for the Tableau Desktop Qualified Associate certification.
4 Data Science with Python This training introduces the various packages in Python such as NumPy, SciPy, Pandas, and Scikit-learn for performing data analysis.
5 Machine Learning The course helps you gain an understanding of Machine Learning applications and algorithms. It also covers deep learning and Spark Machine learning.

Why should I take this master’s program?
As an expert in this field, you will need to have a working knowledge of the three key pillars in the analytics ecosystem: data management, data science and reporting and visualization. This master’s program will hone your skills in:

Big Data
Big data management is the ability to store and process voluminous amounts of unstructured data. Today with the overflow of online information, most companies are adopting big data practices to manage these huge volumes. Hadoop provides the distributed file system for storage, and MapReduce programming in Java is used for the processing. In the analytics lifecycle, it is critical to be able to store and query data to feed the necessary algorithms.

Data Science
Data Science algorithms use data to create insights. Once you have an effective way to crunch data, you can use historical data for descriptive and predictive analytics. This is done using a programming language like R or Python, which utilize libraries for statistical analysis. Learning these languages are important to be able to design custom models for analytics, a key expectation for any data scientist. These skills range from basic probability to advanced machine learning.

Reporting and Visualization
Once you have insights into data, it is important to make the insights available to the organization using visualization and reporting.
This program also includes a number of electives to ensure you get broad knowledge of the entire ecosystem and complementary skills in these fields. The two-year period ensures you have enough time to ramp up, develop skills and apply them in real world scenarios.

What is CloudLab offered by Simplilearn?
CloudLab is a cloud- based Hadoop environment built to ensure hassle-free execution of all hands-on project work. As CloudLab is a pre-configured real-world Hadoop setup, you will avoid potential glitches that can arise during set up of a virtual machine, such as:
  • Installation and system compatibility issues
  • Difficulties in configuring systems
  • Issues with rights and permissions
  • Network slowdown and failure
  • Single machine capacity instead of clusters
CloudLab projects will be conducted on cloud- based Hadoop clusters running on Hadoop 2.711.
You will be able to access CloudLab from Simplilearn’s Learning Management System (LMS). We have similar lab environments for R and Python and provide you with seamless access

Who can take this program?

Many roles can benefit from this program and pursue new career opportunities with high salaries, including:

  • Software developers and testers
  • Software architects
  • Analytics professionals
  • Business analysts
  • Data analysts
  • Data management professionals
  • Data warehouse professionals
  • Project managers
  • Mainframe professionals
  • Graduates aspiring to build a career in analytics
How do I earn the Integrated Program in Big Data and Data Science certification?

Once you have completed all of the courses in the learning path and earned their individual certificates, you will receive the certification for the Integrated Program in Big Data and Data Science from Simplilearn.

You will need to:
  • Successfully complete the course-end assessments
  • Submit your project and pass the examination for each course
This criteria must be met for each of the five courses in the learning path.

Data Science Certification Training - R Programming

Become an expert in data analytics using the R programming language in this data science certification training course. You’ll master data exploration, data visual ization, predictive analytics and descriptive analytics techniques with the R language. With this data science course, you’ll get hands-on practice by implementing various real-life, industry-based projects in the domains of healthcare, retail, insurance, and many more.


Big Data Hadoop And Spark Developer

The Big Data Hadoop and Spark developer course has been designed to impart in-depth knowledge of Big Data processing using Hadoop and Spark. The course is packed wit h real-life projects and case studies to be executed in the CloudLab.


Tableau Desktop 10 Qualified Associate Training

This Tableau training course will help you master the Tableau Desktop 10 data visualization and reporting tool. You’ll learn how to build visualizations, organize data, and design dashboards to empower more meaningful business decisions. And you’ll be exposed to the concepts of statistics, data mapping and establishing data connections. The course includes four industry-based projects and two simulation exams to prepare you for the Tableau Desktop 10 Qualified Associate certification.


Data Science With Python

This Data Science with Python course will establish your mastery of data science and analytics techniques using Python. With this Python for Data Science Course, you ’ll learn the essential concepts of Python programming and gain deep knowledge in data analytics, machine learning, data visualization, web scraping and natural language processing. Python is a required skill for many data science positions, so jumpstart your career with this interactive, hands-on course.


Machine Learning

Simplilearn’s Machine Learning course will make you an expert in machine learning, a form of artificial intelligence that automates data analysis to enable compute rs to learn and adapt through experience to do specific tasks without explicit programming. You will master machine learning concepts and techniques including supervised and unsupervised learning, mathematical and heuristic aspects, and hands-on modeling to develop algorithms and prepare you for the role of Machine Learning Engineer.


Course Advisor

Simon Tavasoli - Analytics Lead at Cancer Care Ontario



Simon is a Data Scientist with 12 years of experience in healthcare analytics. He has a Master’s in Biostatistics from the University of Western Ontario. Simon is passionate about teaching data science and has a number of journal publications in preventive medicine analytics.

Paul Sharkov - Data Scientist at BMO Financial Group, Member of SAS Canada Community



Paul is lead SAS Data Scientist at Bank of Montreal. As a SAS Certified Predictive Modeler, SAS Statistical Business Analyst, and SAS Certified Advanced Programmer, Paul is passionate about sharing his knowledge on how data science can support data-driven business decisions.

Ronald van Loon - Top 10 Big Data & Data Science Influencer, Director - Adversitement



Named by Onalytica as one of the three most influential people in Big Data, Ronald is also an author for 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.

Alvaro Fuentes - Founder and Data Scientist at Quant Company



Alvaro is a Data Scientist who founded Quant Company and has also worked as a lead Economic analyst in the Central Bank of Guatemala. He is a M.S. in Quantitative Economics and Applied Mathematics and is actively involved in consulting and training in the data science space.