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Data Science with R & PythonData Science with R & PythonNULL

Data Science with R & Python

Data Science with R and Python

Course Overview

Data Science with R and python course will acquaint the participants with the nuts and bolts of the python programming condition and dataset including how to download and introduce python, expected basic python programming methods, and how to discover help with python programming questions. The course will likewise present information control and cleaning methods utilizing the famous python pandas information science library and present the reflection of the Data Frame as the focal information structure for information examination.

Course covers

  1. Statistical Analysis
  2. Hypothesis Testing
  3. Probabilistic Analysis
  4. R Programming
  5. Data Import/Export and Data Manipulation
  6. Predictive Analysis
  7. Regression and Classification
  8. Time Series Forecasting
  9. Anomaly Detection
  10. NLP – Sentiment Analysis

Course Objective

  1. To make the learner identify potential zones of uses of Data Science.
  2. Providing experience in working with real-time applications of Data Science and Data Analysis.
  3. Make a learner easily land up to a job role of either Data Scientist, Data Analyst, Business Analyst in IT Industry.

Course Outcome

Before the finish of this course you will:

  1. Have an astonishing arrangement of illustration python information investigation ventures!
  2. Have a comprehension of Machine Learning and SciKit Learn!
  3. The learner will be able to land up in a job role related to Data Analyst and Data Science.
  4. The Learner can also easily switch from existing job role with around of 20% hike from the current salary switch to any of the field where Data Science is being used.
  5. The learner will become capable of handling any project relevant to Data Science in a proper way.

10 Possible Project (5 number of projects covered out of given 10)

  1. Exploratory Data Analysis of USA Bachelors Dataset
  2. Exploratory Data Analysis on Hyderabad Air Traffic Dataset from data.gov.in
  3. Hypothesis testing on sales data, sales pattern extraction
  4. Exploratory Data Analysis of IPL Dataset
  5. Churn Prediction for an Enterprise
  6. Credit Card Fraud Detection
  7. Hypothesis testing on female literacy and fertility dataset, working with correlation analysis, visualizing the data.
  8. Fetching data related to the number of Pinterest accounts maintained by IS state Department and embassies and missions and performing Exploratory Data Analysis
  9. Social Media Data Analysis
  10. Predictive Analysis on Credit Default Dataset

Study Material

TechTrunk provides world class Course Curriculum and Study Material of Data Science Course

  1. PPTs
  2. Practice Examples
  3. Reading Material in softcopy
  4. Project Codes
  5. Lifetime access to Learning Management System (Here you can get all of above and recorded video of live Session so if you missed any session you will get in LMS)

Suggested relevant courses after taking this course: 

Deep Learning

Suggested Job Profile after taking this course:

After completion of this course, a candidate can directly land up on the given profile, these are the world best job profiles.

  1. Data Scientist
  2. Data Analyst
  3. Business Analyst
  4. Data Science Associate
  5. Chief Data Scientist
  6. BI Professional
  7. R & D Professional and others

Software & Tools details- 

R 3.5 ( Click here for Download   )

R studio ( Click here for Download )

Anaconda for Python 3.x ( Click Here for Download )

Machine Requirement

  1. Windows Machine (Windows 7 or Above) /Linux Machine
  2. Only 64 Bit
  3. 4 GB RAM (8 GB Recommended)

Prerequisite

Basic Understanding of mathematics and programming

Course Code

TTV/IND/00034

Fee

Fee Window Fee
Regular Window  30,000+ 18% GST
Early Window [ Closed ] 27,000+18% GST

Download full Course Curriculum

Instructors

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Santosh has over 18 years of experience in IT and has demonstrated the ability to lead diverse teams to new levels of success in a variety of highly competitive and fast-paced environments, with skills in SAP, AI, Anaytics, machine learning, digital transformation and IOT. He has good record of accomplishment in challenging and complex assignment. He carries a blend of strong technical and management skills Work Geography: Apart from India, he worked for 6 years in client facing roles across US, Europe (France, London, Germany) and South East Asia.
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A Technical expert and a passionate trainer has expertise in the field of Artificial Intelligence, Machine Learning and IoT, he has a proven work record of delivering more than 100+ workshops and Technical Training in various technologies and domains at the top MNCs, premier organizations including IITs, NITs and other premier educational organizations. He has delivered 50+ corporate Training to clients from India and abroad. Skills- Programming Languages: Python, Arduino, R, MATLAB Scripting Languages: HTML, JS, CSS AI Skills: Machine Learning – Linear & Logistic Regression, Clustering, Artificial Neural Networks, SVM, Genetic Algorithm, Fuzzy Logic, Natural Language Processing, PCA, CNN, LSTM AI, ML Tools & Platforms: Python, Tensorflow, Keras, Azure ML, AWS, Apache Spark Hardware: Arduino, Raspberry Pi, AVR, Intel Edison, Xbee, LoRaWAN IoT Platforms: AWS IoT, Thingworx, ThingsBoard, IBM Watson IoT, ThingSpeak, myDevices, Twilio, node-red, Ubidots, PubNub, IoT Gateway

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