DSAP (Data Science Analytics Professionals)

Know your way around the DSAP (Data Science Analytics Professionals).

As per the famous saying, "It's never late to start something new" and if you have a keen interest in Data Science, giving it a kickstart with our Data Analytics Certification would be a marvelous idea. Since technology has reached the next level of invention and innovation, accessing internet services becomes easier than ever. There would be nothing wrong to say that data science analytics has covered a vast range of study and research which lets you grow in your career and business. The Data Science Analytics certificate promises job opportunities spanning a wide range of industries and the nature of the job lets you work remotely even sometimes in self-employment. With this rapid demand for Data Science Analytics Professionals due to its popularity has opened a door to boost one's career and earn a lot. So, doing a certification to become a Data Science Analytics Professional would be a wise decision. Enroll now with us to be what you want to be!

Owing to our world-class instructors and tried and tested curriculum we can easily say that ours is the best data analytics certification course online.

Why Choose Careerera to Become a Data Science Analytics Professional?

  • We  keep in mind the Trends of the Industry and Design the course curriculum by providing a contemporary learning environment. 

  • As far as the learning methodology is concerned, Careerera follows the all-around approach to let you learn every single aspect of Data Science focusing on the development of the candidates thoroughly. 

  • The classes are designed in a way that an individual can access them at any time once the candidate completes the class. The classes are provided in an automatic recording mode accessing them later won't be an issue for a candidate because of the online data analytics certification.

  • All the modules are covered in the curriculum with  Focus on practical Training to Let you with hands-on theory as well as practical knowledge. 

  • Also, each and every query of a candidate rectifies to understand the Data Science concepts clearly without leaving any doubt. 

Eligibility for Data Science Analytics Professional Certification :

  •   Graduate with Basic Knowledge  of Python would be Preffered, we will start with Beginner  level
  •  A good understanding of Data Interpretation, Data Visualization will Help you Learn Faster

Course Highlights For Data Science Analytics

  • The entire course span is 120 hours.

  • As soon as the candidate registers for the course, a complimentary E-Kit including Sample papers, E-Books, Software Requirements of the system and  will be provided. 

  • Opting for a Live Virtual Classroom Training Program, the Candidate Gets a Free E-Learning Module. 

  • 24/7 E-mail assistance along with the Exam counsel

  • To Revise the Concepts Explained in the Live virtual class will be also available on the recording of the live virtual sessions, access them anytime to learn and revise. 

Program Curriculum

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See which topics you will have to assimilate.

  • Chapter - 1
  • Introduction to Data Science
  • Chapter - 2
  • Introduction to Business Analytics
  • Chapter - 3
  • Introduction to Python
  • Chapter - 4
  • Working On MySql
  • Chapter - 5
  • Exploratory Data Analysis,Data Cleaning,Data Manipulation
  • Chapter - 6
  • Statistical Method for Decision Making:-
  • Chapter - 7
  • Machine Learning-Supervised Learning,Unsupevised Learning
  • Chapter - 8
  • Ensemble Technique:Bagging,Boosting
  • Chapter - 9
  • Text mining and sentimental Analysis
  • Chapter - 10
  • Time Series Forecasting
  • Chapter - 11
  • Predictive Modeling
  • Chapter - 12
  • Optimization Techniques:-
  • Chapter - 13
  • Marketing and Retail Analytics
  • Chapter - 14
  • Web & Social Media Analytics
  • Chapter - 15
  • Finance & Risk Analytics

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DSAP (Data Science Analytics Professionals)

Data Science

This Certificate is Proudly Presented to

John Smith

For Successful Completion of the Program In
Data Science with all the Mandatory Course Requirements
and Capstone Projects with Distinction.




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