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