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Data Science Using Python

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Arekere, Banerghatta Road, Bangalore

Course ID: 46144

Arekere, Banerghatta Road, Bangalore

Students Interested 0 (Seats Left 0)

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About the Course

Instructors


Nishant Niranjan - IIT Roorkee


Goutam Gupta - IIT Kharagpur


 


Organizations have been collecting data for many years but only recently data science started getting adequate attention and a place in business decision-making. In the current corporate landscape, there is a huge demand for people who can mine and interpret data. These are the data scientists.


They take an enormous amount of messy data points (unstructured and structured) and use their skills in math, statistics and programming to clean, massage and organize them. They then apply all their analytic powers â?? industry knowledge, contextual understanding, existing assumptions â?? to uncover hidden solutions to business challenges.


Learning data science has many pieces-



  • Which tool to learn â?? R or Python?

  • What techniques to focus on?

  • How much statistics to learn?

  • Do I need to learn coding?


 


Our training covers beyond just framework and tools AND touches upon important aspects of Data Science like:



  • Mathematical and Statistical concepts dealt with in Data Science

  • In-depth coverage of different techniques and Machine Learning Algorithms that help to decide which one to apply in a specific instance

  • Understanding and dealing with real-life use cases effectively


 


This is an industry where opportunities are abundant and plenty of jobs are waiting for you â?? now and in the future.


Just to mention a few, some of the most common job titles include: Business Analyst, Data Mining Engineer, Data Scientist etc.


 


Modules covered:



  • Module 1:   Introduction to Data Analysis

  • Module 2:   Programming with Python

  • Module 3:   Feature Engineering and Data Exploration

  • Module 4:   Supervised & Unsupervised Algorithm

  • Module 5:   Clustering â?? K Means

  • Module 6:   Regression Models

  • Module 7:   Classification Trees and Random Forest

  • Module 8:   Market Basket Analysis

  • Module 9:   Time Series Modelling


 


What you will learn



  • Data Analysis using Python

  • Build Models to predict Future Outcomes

  • Hands-on training with real-life use cases

Date and Time

Not decided yet.

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About the Trainer

5 Avg Rating

1 Reviews

1 Students

6 Courses

Nishant Niranjan

B.Tech ( IIT Roorkee)

An Analytics and Strategy professional with a flair for numbers. His educational background includes a B.Tech. from IIT Roorkee and has worked in Organisations - Dell, Western Union, VMware in the area of Analytics, Data Science and Digital Marketing. Having 13 years of industry experience, he has been part of the hiring committee and has mentored many team members on various skills within the Organization. He has a strong penchant for Mathematics and number-crunching leading to mentoring young talents in the area of Quantitative Aptitude/Data Science/IoT/Machine Learning/Digital Analytics.

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