End to End Data Science Live Class

A flagship program for Working professionals covering essentials of Data Science, AI and mentoring till you become data scientist.

4.5/5

Course Curriculum

Applied Statistics

What is data science and How is data science different from BI and Reporting?
What is the difference between AI, Data Science, Machine Learning, Deep Learning
Job Landscape and Preparation Time
Who are data scientists and What skillsets are required?
What is day to day job of Data Scientis and What kind of projects they work on?
End to End Data Science Project Life Cycle
Data Science roles – functions, pay across domains, experience

Python for data science

Probability concepts, Bayes Theorem , PMF, PDF , CMF , CDF
Mean, Median , Mode, Std Dev , Box Plots
Sampling , Normal, Binomial, Binomial approximation to normal
Z score calculation and defining p-value
Sampling distribution of sample means
Hypothesis testing , Confidence Interval ,Type I,II error
T Test , Chi Square test

Data Visualization

A Primer to R programming
Types of objects in R – lists, matrices, arrays, data.frames etc.
If statement, conditional loops – for, while etc., String manipulations
Sub setting data from matrices and data.frames
Casting and melting data, Merging datasets

Machine Learning

Understanding the reason of Python’s popularity
Basics of Python: Operations, loops, functions, dictionaries
Numpy – creating arrays, reading, writing, manipulation techniques
Ground-up for Deep-Learning

Deep Learning

Getting to understand structure of Matplotlib
Configuring grid, ticks.
text, color map, markers, widths with Matplotlib
configuring axes, grid, hist, scatterplots
bar charts, multiple plots, 3D plots
Correlation matrix plotting

Natural Language Processing

Introduction to pandas
Data loading with Pandas
Data types with python
Descriptive Statistics with Pandas
Quartile analysis with Pandas
Sort, Merge, join with Pandas
Indexing and Slicing with pandas
Pivot table, Aggregate and cross tab with pandas
Apply function for parallel processing with Python
Cleaning Data with python
Determining correlation
Handling missing values
Plotting with Pandas
Time series with Pandas

1
2
3
4
5
6
Applied Statistics
Python for data science
Data Visualization
Machine Learning
Deep Learning
Natural Language Processing

Highlights

Live with Recordings Access

Classes are conducted on Zoom calls with 24*7 unlimited access to recordings for 12 months

Easy Refunds and No cost EMI

2 weeks no questions asked full refund plus no cost EMI available with our partners.

Curriculum from Industry Experts

Our curriculum is continuously monitored, reviewed and updated by Industry experts

Certification

Receive a course completion certificate from supervisedlearning.com valued by Industry experts.

Price

75,000 (Incl Taxes)

Date

02 June 2024

Time

Sat and Sunday - 08 00 AM to 10 30 AM IST

Course Type

Live Classroom

Reviews

Best Suited for

Beginner

Most Liked

Expectations Met?

Exceeded
0%
Somewhat
0%
Yes
0%
Not really
0%

Sreekumar Radhakrishnapillai

I find your tutorials are very well structured and address the analytic requirements for the researchers and data analytics. I find the outputs in your tutorials are exactly in the same format that we require in real projects. The focus you gave on the assumptions testing before doing the analyses is also price worthy. Thank you very much for your determination.

Sreekumar Radhakrishnapillai
Principal Investigator, Centennial College Canada

Mohit Ranawat

I have successfully made a career transition into DL. Thanks to lively teaching and practical examples which helped me solve any problems and improved my problem-solving capabilities. The data tales provided were some of the best things I have ever seen.

Mohit Ranawat
Sr. Technical Analyst, Cognest.ai

Harish J

As a student of the NLP 100 Hours program, I can say, we got the best instructor. Great case studies, exhaustive hands-on, Good interactivity sessions, and a diverse batch for good networking are the best part of the course.

This is the best course for NLP

Harish J
Data Scientist , Tech Mahindra

Shravya CH

Today was my first day at IIT Hyderabad and making it here as the youngest learner was only possible because of Prudhvi’s mentorship.  His way of simplifying concepts and analogies made it easier to recall. Happy to have undertaken this course and this course helped me make my IT dream come true.

Shravya CH
Data Scientist, Accenture

Best Suited for

Beginner

Most Liked

Expectations Met?

Exceeded
0%
Somewhat
0%
Yes
0%
Not really
0%

Sreekumar Radhakrishnapillai

I find your tutorials are very well structured and address the analytic requirements for the researchers and data analytics. I find the outputs in your tutorials are exactly in the same format that we require in real projects. The focus you gave on the assumptions testing before doing the analyses is also price worthy. Thank you very much for your determination.

Sreekumar Radhakrishnapillai
Principal Investigator, Centennial College Canada

Mohit Ranawat

I have successfully made a career transition into DL. Thanks to lively teaching and practical examples which helped me solve any problems and improved my problem-solving capabilities. The data tales provided were some of the best things I have ever seen.

Mohit Ranawat
Sr. Technical Analyst, Cognest.ai

Harish J

As a student of the NLP 100 Hours program, I can say, we got the best instructor. Great case studies, exhaustive hands-on, Good interactivity sessions, and a diverse batch for good networking are the best part of the course.

This is the best course for NLP

Harish J
Data Scientist , Tech Mahindra

Shravya CH

Today was my first day at IIT Hyderabad and making it here as the youngest learner was only possible because of Prudhvi’s mentorship.  His way of simplifying concepts and analogies made it easier to recall. Happy to have undertaken this course and this course helped me make my IT dream come true.

Shravya CH
Data Scientist, Accenture

Blended Learning Components

Live Classes

Attend the interactive live classes from anywhere and also get access to recordings of the classes for future reference.

Other live classes

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