This Big Data Analytics has been designed to help meet the expanding needs for these "Data Scientists" who are skilled in the utilization of a unique blend of Science, Art and Business.
Venues for Big Data Analytics: Mumbai, Pune, Bangalore, Chennai, Delhi, Hyderabad & Kolkata
Many Corporations have dramatically increased investments in their "digital enterprises" in the past few years. It has been estimated that by 2020, IT departments will be monitoring 50 times more data than they are today. This tidal wave of data is driving unprecedented demand for those with the skills required to manage and leverage these very large data sets into a competitive advantage.
These professionals are skilled in automating methods of collecting and analyzing data and utilizing inquisitive exploring techniques to discover previously hidden insight from this data that can profoundly impact the success of any business.
Academically Rigorous: EduPristine is known for classroom training and project-based learning. This big data analytics training is no exception. The program is designed and delivered by the experienced faculty and data science professionals who teach at the EduPristine campus
Live Classes: Unlike a typical classroom learning experience, these classes are delivered using standard practices. EduPristine blends live, face-to-face classes with top-notch platform facilitates.
Individuals with a bachelor's degree in engineering, science, maths/statistics, finance, computer science, accounting or marketing who are intrigued by statistical and analytical practices may excel in this field
|Module I - Big Data & Hadoop (60Hrs Classroom Training)|
|Module II- Big Data TRENDS|
|Module III - Business Analytics (50Hrs Classroom Session)|
|Module IV - Case studies (20Hrs Classroom Session)|
|Module V - Data Visualization (20Hrs Classroom Session)|
Get trained by topic experts with interactive learning in small batches.
Learn Concepts once again though Live Online sessions.
Prepare rigorously before global certification exam.
This course serves as an introduction to the interdisciplinary and emerging field of data science. Students will learn to combine tools and techniques from statistics, computer science, data visualization and the social sciences to solve problems using data
Work on real time cases from different domains.
Access to Course Material (Unlocked Excel Models, Presentations, etc.)
AWrite to us and get your doubts solved by our experts within 2 business days. You can also initiate a discussion by posting it on active forums.
Download the study notes to supplement subject wise video tutorials & webinar recordings
A reference to get ahead in your career. At the end of the course, you will receive a Certificate of Completion.
Preparing for Data visulization global Certification
The Registration fees of 250$ to be paid by participant at the time of exam.
|Bangalore||13th Aug||Asha Plaza, Second Floor, #607, 80 Feet Pheripheral Road, Koramangala IV Block, Bangalore – 560095||18002005835|
|Chennai||TBA||Tensor Infotech, 51/21, Rukshana Towers III Floor, Hindhu Prahar Sabha Street, T Nagar, Chennai-600017||18002005835|
|Delhi||23rd July||EduPristine,#44,2nd Floor Regal Complex Outer Circle Connaught Place||18002005835|
|Hyderabad||23rd July||Mirra Trade Centre, Panjagutta,Ethames Degree College, Hyderabad- 500082||18002005835|
|Mumbai||23rd July||7th Floor, 702, Raaj Chambers, Old Nagardas Road, Near Andheri Subway, Andheri East 400069||18002005835|
|Pune||16th July||Semat Institute of Excellence, 2nd floor tandle heights above moolchand sweets, senapati bapat road Pune||18002005835|
|Kolkata||9th July||Saltlake city Behind City Center - 1, Kolkata -700064||18002005835|
|Online Live Instructor base training|
|Exam Preparation Session|
|Assignments & cases|
|24 * 7 Access to material|
Data science is the study of the generalizable extraction of knowledge from data, yet the key word is science. It incorporates varying elements and builds on techniques and theories from many fields, including signal processing, mathematics, probability models, machine learning, statistical learning, computer programming, data engineering, pattern recognition and learning, visualization, uncertainty modeling, data warehousing, and high performance computing with the goal of extracting meaning from data and creating data products.
Data Science is not restricted to only big data, although the fact that data is scaling up makes big data an important aspect of data science.
You will have an opportunity to work through a data science project end to end, from analyzing a dataset to visualizing and communicating your data analysis.
Through working on the class project, you will be exposed to and understand the skills that are needed to become a data scientist yourself.
Identify, obtain, and transform a data set to make it suitable for the production of statistical evidence communicated in written form
Build models based on new data types, experimental design, and statistical inference
As per Harvard Business Review - Data Scientist: The Sexiest Job of the 21st Century Refer Link -hbr.org/2012/10/data-scientist-the-sexiest-job-of-the-21st-century/
Data science develops the skills required to build information platforms and analytical tools that reduce costs, increase profits, improve products, retain customers, and identify new opportunities.
Data scientists solve complex data problems through employing deep expertise in some scientific discipline. It is generally expected that data scientists are able to work with various elements of mathematics, statistics and computer science, although expertise in these subjects are not required. This course is part of both the developer learning path and the data analyst learning path.
To understand the content, derive value, and successfully complete this course, you should have,
You will be learning "Hadoop Technology", "R Studio", "SAS Language", "Excel" & "Tableau".
Yes , this is a purely classroom program conducted on weekends only.
The study warns there is a significant shortage of qualified workers to analyze Big data sets adequately. According to the report, a shortfall of about 140,000 to 190,000 individuals with analytical expertise is projected by 2018. The study also predicts a need for an additional 1.5 million managers and analysts by that same date to fully engage the true potential of the currently available data..
Data scientists are an integral part of competitive intelligence, a newly emerging field that encompasses a number of activities, such as data mining and analysis, that can help businesses gain a competitive edge. Ken Garrison, CEO of the industry group Strategic and Competitive Intelligence Professionals (SCIP), explains, "The field involves collecting data, analyzing it and delivering the data as intelligence that is actionable."
Every domain employers in analytics required: for example- 1. Large IT companies who have an Analytics practice; 2. Analytics KPOs; 3. In-House Analytics Units of large corporate; and 4. Analytics firms.
The following is only a representative list: 1. IT - Accenture, Infosys ,TCS,Wipro; 2. KPO - Genpact, WNS; 3. Citibank, Dell, HP, Spencers, Target; and 4. Niche: Brainmatics, Fractal Analytics, Mu Sigma.
It's an Online class which will cover any new updates or topics in Big data field. We keep this as an initiative for all old students to update on new techniques in the market. There will be a 3Hrs online interactive session on every 2nd & 4th Sunday of month for all X-students
New topics in Big data & Industrial Case studies will be covered. All the enrolled students of Hadoop plus will get an Access to Hadoop trends for a year. Additionally , 4 classroom workshops will be held in a year in 5 cities to cover important topics Cities for workshop- Mumbai, Pune, Banglore, Kolkata and Delhi only
We sincerely appreciate the flexibility of teaching and customized guidance that the institute provided each of us. The intensity of the programme prepares one for high pressure situations. We are very grateful for the very valuable training and assistance provided to us by EDUPRISTINE.
The beauty of this course is to have lots of practice. If one chooses to do it seriously, he is done with the subject. Trainers are also very good and are from a good industrial background. Whenever possible they try to relate this to real world examples. I am going to attend this again for topics that I missed out. I could actually solve my real work problem using the example demonstrated in the class. Thank you Edupristine.
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