Certification program in Data Analytics
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.
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.
Course Content
Module 1: Fundamentals of Statistics and Probability (18 Hours)
-
01:26:59
-
Population and Sample
01:18:08 -
Fundamentals of descriptive statistics
01:21:39 -
Measure of central tendency
01:42:29 -
Estimators and Estimates
01:54:35 -
Confidence intervals
01:49:04 -
Hypothesis testing
47:04 -
Fundamentals of probability
01:53:05 -
Probability Distributions
01:49:45
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
Earn a certificate
Add this certificate to your resume to demonstrate your skills & increase your chances of getting noticed.
