Certification program in Data Analytics

Categories: Data Science
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About Course

This is the program where you will be trained with fundamentals of data analytics, Machine learning, Data visualization and Python. The entire content provides you with the comprehensive theory and practical knowledge driven by highly qualified professionals from the Data Science spectrum.
With the help of our carefully curated training programs, you will be professionally groomed and have your skill sets enhanced. This will be done through hands-on projects, practical assignments, case studies, communication skills, resume building sessions, mock tests, assessments and mock interviews.

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Features of program

  • Live 2 Hours/day training sessions by GapReduce certified trainer
  • Case studies and project on data analytics
  • Module wise assessments
  • Coding assessments
  • Resume building sessions
  • One to one mock interviews
  • MNC specific interview question bank + practice test
  • Job application support
  • Placement support from GapReduce placement team


Program Modes

Certification program in Data Analytics is offered in two modes mentioned below:

Interview Guaranteed

In GapReduce Interview Guaranteed programs, we offer guarantee for interview in respective domains covered by program. During this time, even after completion of course, learner will be given complete support to update resume, prepare profiles like linkedIn for job opportunities. Learner will be given regular updated about job opportunities and complete assistance in applying for the same.

Job Guaranteed

In GapReduce Job Guaranteed programs, we offer guarantee till the placement of learner. Learner will start receiving job updates after 70 % completion of course and this support will be given for a period of one year after completion of course. During this time, learners will be given regular updates, interview preparation question banks, mock interview and resume update sessions.

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What Will You Learn?

  • Fundamentals of probability
  • Statistical methods for data analytics
  • Python for Data Analytics
  • Machine learning algorithms
  • Data Visualization
  • Handling Big Data using Apache Hadoop

Course Content

Module 1: Fundamentals of Statistics and Probability (18 Hours)

  • 01:26:59
  • Population and Sample
  • Fundamentals of descriptive statistics
  • Measure of central tendency
  • Estimators and Estimates
  • Confidence intervals
  • Hypothesis testing
  • Fundamentals of probability
  • Probability Distributions

Module 2: Statistics for Decision Making (12 Hours)

Module 3: Introduction to Data Analytics (8 Hours)

Module 4: Fundamentals of Python Programming (30 Hours)

Module 5: Introduction to Machine Learning (10 Hours)

Module 6: Hands-on classification algorithms using python (10 Hours)

Module 7: Hands-on Clustering and Regression

Module 9: Big Data Analytics

Skillgap Assessmet Series

Interviews and Placement

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