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DATA SCIENCE ONLINE PROGRAM

30000+ SATISFIED

PARTICIPANTS

5000+ BEPEC - GLOBAL

CERTIFIED DATA SCIENCE

PARTICIPANTS

1000+ PLACED ON

DATA SCIENCE JOBS IN LAST  YEAR

5+ LIVE PROJECTS

TO WORK ON DATA

SCIENCE PROJECTS

100%JOB GUARANTEE,

ELSE MONEY BACK

            *** T&C APPLY ***

BEPEC'S ACHIEVEMENTS

Data Science masters been one of our flagship course across different branches and different places we are operating. On an average 20-25 people get placed on Data science every month. 

In BEPEC, nearly 200 participants work on various data science projects on python and r programming. Some data science participants work on power BI, tableau, python, R programming, openCV e.t.c. in their data science project work.

Once in a month we share success stories of our data science participants who got placed into their job roles. What was the experience while learning? How they finally made it, their challenges as non programmers. 

How our data science masters program helping them to learn either via online or classroom? Stay tuned with BEPEC to know about this.

ONLINE

100 HOURS OF LIVE MENTOR DRIVEN DATA SCIENCE ONLINE MASTERS TRAINING PROGRAM WITH REAL - TIME PROJECT WORK ON DATA SCIENCE FOR 2-3 MONTHS

E-LEARNING

100 HOURS OF RECORDED SESSIONS WITH 10 HOURS OF TRAINER SUPPORT. REAL TIME PROJECT WORK FOR 1 MONTH ON DATA SCIENCE & MACHINE LEARNING

ONE TO ONE

DATA SCIENCE  COURSE WILL BE PROVIDED FOR ONE TO ONE CANDIDATES WHO ARE HAVING 10+ YEARS INDUSTRY EXPERIENCE AS PER THEIR REQUIREMENT

CORPORATE

DATA SCIENCE  COURSE WILL BE PROVIDED AS PER YOUR REQUIRED TIME AND REQUIRED AGENDA WITH EXPERIENCED TRAINERS WHO HAS REAL TIME PROJECT EXPERIENCE

ABOUT OUR COURSE:

Data Science been one of the buzz word across the industries. Every company now a days they are switching into Data Science. By 2020 most of the companies going to work 80-90% on various data science related projects. If companies are taking a step towards Data science, most of the old technology related jobs get wrapped up. Most of the companies are paying good data science salaries. Some companies call data science some companies call it like data analytics. People are having various doubts regarding data science vs data analytics.  Yes, building data science related skill is bit hard, but if you are able invest at least 1 hour per day would be good for your career.  ​Starting with data science python would be a right choice.

What is Data Science? What is Data Science course you are learning after learning data science you get placed as data scientist. What this data scientist do? Data Scientist is the person who extract information or valuable insight out of structured data like rows and columns eg: your excel data sheets, sql databases, e.t.c. Even pulling valuable insights from unstructured data like images, voices, text e.t.c. 

Skills to master for being a data scientist?  A data scientist need to know what data to collect and what data to analyse for a given problem statement. He must understand the data collected and he need to draw valuable insight out the data, to do this task data scientist need to be good at Statistics. If the problem given is simple and less amount of data, data scientist can solve the problem using data visualization or data reporting using various tools like tableau or power bi e.t.c. so data scientist need to be good at visualization tools. If the problem is complex and need to work on huge amount of data, we use machine learning to pull various valuable patterns out of data. So a data scientist need to be good at Machine learning skills. Finally and important skills to understand the data or to pull insights from the data related to a problem domain knowledge is must for a data scientist. If you plan for a career as data scientist it's better to learn all this above skills.

Data Science Applications: Data Science implemented across different industries like finance, healthcare, manufacturing, IT, Tech, Banking e.t.c. We can find various example like data science like predicting future products, approving a loan, identifying the risk, image recognition, predicting the fall of the person. Heart attack prediction, text predictions, google search, applications towards dental, drug suggestions e.t.c. are some of the examples of data science. 

How to start? People who are planning to switch their career towards data science can learn via various podcasts or via various youtube channels or data science wiki or data science pdf. But to switch faster and to have a better real time learning experience it's better and suggested to go under a mentor who is with real time experience so he can fine tune your learning and he can make you to focus on what is important? what to prepare? how to crack a job? How to build resume? e.t.c. 

  • Our data science with python and R Programming is crafted in such a way that even a layman can crack job on data science.

  • Our data science course contains Statistics, linear algebra, Probability, Python Programming, Machine learning, Domain knowledge on healthcare, IT, Banking, Oil & Gas e.t.c. and Data Visualization with tableau and Power BI.

  • Each and every concept is carried with real time example as well as with an assignment to work

  • A data scientist is very known for building prediction models using machine learning techniques like forecasting, regression and classification.

  • Here in our training you are going to learn nearly 10+ machine learning algorithms like decision trees, ensembling methods, non-parametric methods e.t.c.

  • Each and every algorithm was ended up with one real - time project from different domain and it's applications and creating documentation for each project on data science.

  • Nearly 15+ live real - time projects on data science you people going to work in our trainings.

  • After the training we prepare your resume on data science and market it across different industries and test you with various mock interviews and projects until you crack job on Data Science.

Agenda

 

SCHEDULE:

 

DATA SCIENCE ONLINE- BANGALORE (3,5TH SEP 2019)

6 WEEKENDS - CLASSROOM TRAINING - 100 HOURS

NO.OF TRAINERS

LAPTOP

ASSIGNMNETS

PLACEMENT ASSURANCE

LIVE PROJECTS

5+ LIVE PROJECTS

YES

10+ ASSIGNMNETS

REQUIRED

2

DATA SCIENCE ONLINE- (9,13TH SEP 2019)

6 WEEKENDS - CLASSROOM TRAINING - 100 HOURS

NO. OF TRAINERS

LAPTOP

ASSIGNMENTS

PLACEMENT ASSURANCE

LIVE PROJECTS

5+ LIVE PROJECTS

YES

10+ ASSIGNMENTS

REQUIRED

2

ONLINE DATA SCIENCE MASTERS- WORLDWIDE (16,21ST SEP 2019)

100 HOURS OF TRAINING - NEARLY 3 MONTHS 1HR 30MINS/DAY

MORNING

EVENING

LAPTOP

INTERNET

LIVE TRAINER

YES

REQUIRED

REQUIRED

9.00PM

8.30AM

Certification
 

How do i earn my Data Science - Best Practices Certification?

 

Pre-Requisites for Certified Data Science Consultant - Best Practices

 

1. Must complete one project on Data Science with Project documentation and Source Code

 

2. Need to attend 16 Hours of Best Practices on Data Science Training from BEPEC Global

 

3. Need to book exam with BEPEC Global

 

4. Must gain 60% to get awarded with CMLA - Best Practices Certification

 

5. Answer sheet going to be corrected by Artificial Neural Networks

6.Aggregated by Independent Global Certification (IGC)

FAQ'S
 
Podcasts
 

Data Science Definition:

Data Scientist is the person who extract information or valuable insight out of structured data like rows and columns eg: your excel data sheets, sql databases, e.t.c. Even pulling valuable insights from unstructured data like images, voices, text e.t.c,A data scientist need to know what data to collect and what data to analyse for a given problem statement. He must understand the data collected and he need to draw valuable insight out the data, to do this task data scientist need to be good at Statistics. If the problem given is simple and less amount of data, data scientist can solve the problem using data visualization or data reporting using various tools like tableau or power bi e.t.c. so data scientist need to be good at visualization tools. If the problem is complex and need to work on huge amount of data, we use machine learning to pull various valuable patterns out of data. So a data scientist need to be good at Machine learning skills. Finally and important skills to understand the data or to pull insights from the data related to a problem domain knowledge is must for a data scientist. If you plan for a career as data scientist it's better to learn all this above skills.

 

Our Hiring Partners

Our Services

 

20+ TIED UP COMPANIES

MOCK INTERVIEWS

JOB SPECIFIC TRAINING

HIGH IN CLASS RESUME BUILDING

100% JOB SUPPORT

LIFE TIME E-LEARNING ACCESS

LIVE PROJECT EXPERIENCE

 

Demo On Data Science

1.Testimonial on Data Science job

2.Mistakes in Data Science Resumes

3.Learning Data Science IN Wrong way

4.Difference between Traditional Statistics and Modern Statistics

5.Certifications or Project?

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