Executive Development Program In Data Science Using Python, R & Excel

Data Science

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  • 8-12 LPA

    Average salary in this domain

  • 20000+

    Jobs open every year in this domain

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About this course

Today every business is trying to engage with data science in one form or another. Unfortunately, very few businesses have been able to even grasp the idea of what constitutes data science, let alone a useful or profitable implementation of the same. The phrase - data science triggers thoughts on related terms like business analytics, operations research, business intelligence, competitive intelligence, data analysis and modeling, etc. In addition, the latest craze doing the rounds is big data analytics. No wonder an average business manager is utterly confused about how to start introducing data science in the organization. Meanwhile, popular press keeps exhorting managers not to be late in embracing data science. The consequence is that business managers employ technical solutions without having a good idea of how data science can actually add value to their businesses.

To preside over a successful implementation of data science in the organization the managers must have a good understanding of the basics, and it is quite impossible to get a feel of data science without getting one’s hands dirty. This course is an entirely hands-on approach to data science where participants would be working with data sets to generate insights for businesses. The tools that we will use are Python, R and Excel.

The objective of this course is to introduce participants to the world of data science and who have not got a foothold into the techniques. The purpose of this course is to strip away all the distractions around data science – codes, tools, etc., and teach the techniques using practical cases that can be understood and appreciated by someone with an elementary knowledge of mathematics.

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Today every business is trying to engage with data science in one form or another. Unfortunately, very few businesses have been able to even grasp the idea of what constitutes data science, let alone a useful or profitable implementation of the same. The phrase - data science triggers thoughts on related terms like business analytics, operations research, business intelligen Read More

Get a deeper understanding of

  • Text Analysis
  • Cloud Computing using AWS and GCP
  • Data Visualization
  • Time Series Forecasting
  • Machine Learning Models
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Key skills you’ll learn

  • Programming skills
  • Data visualization
  • Statistical skills
  • Excel, Python, and R

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Benefits for All Students

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Are You Eligible

Education

  • For Indian Participants – Graduates (10+2+3) or Diploma Holders (only 10+2+3) from a recognized university (UGC/AICTE/DEC/AIU/State Government) in any discipline
  • For International Participants – Graduation or equivalent degree from any recognized University or Institution in their respective country
  • Proficiency in English, spoken & written is mandatory

Prerequisites

  • Mathematics as a subject up to Class XII
  • Familiarity with Python and R is desirable but not mandatory
  • Knowledge of basic programming concepts will be beneficial
  • This course is entirely hands-on, and so it is recommended, though not a necessity, that students have two devices – one to follow the lecture and the other for hands-on practice on Python and R (laptop/desktop)

Syllabus at a Glance

  • Installing R, Python, Jupyter Notebook and R Studio
  • Basic Data Structures in Python and R
  • Writing Functions
  • Use of Loops
  • Use of R and Python using cloud option
  • Important Functions in Excel
  • Optimization Using Solver
  • Important Data Sources
  • Scrapping Data from Websites
  • Managing missing data
  • Managing outliers
  • Removing duplicate rows
  • Making Data Tidy
  • Introduction to SQL
  • Accessing Data in R/Python using SQL Queries
  • Using BigQuery to run SQL queries
  • Visualizing Data
  • Cleaning Text
  • Text Representation
  • Sentiment Analysis
  • Time Series Forecasting
  • Forecasting using Prophet
  • Understanding the Maths of Machine Learning
  • Building Machine Learning Models (Regression and Classification)
  • Hyperparameter Tuning
  • AutoML
  • Building recommendation models
  • Segmenting customers using cluster analysis
  • Understanding the Maths of Deep Learning
  • Building a Deep Learning Model to Predict Stock Prices
  • Using AWS and GCP in Data Science

  • Installing R, Python, Jupyter Notebook and R Studio
  • Basic Data Structures in Python and R
  • Writing Functions
  • Use of Loops
  • Use of R and Python using cloud option

  • Important Functions in Excel
  • Optimization Using Solver

  • Important Data Sources
  • Scrapping Data from Websites

  • Managing missing data
  • Managing outliers
  • Removing duplicate rows
  • Making Data Tidy

  • Introduction to SQL
  • Accessing Data in R/Python using SQL Queries
  • Using BigQuery to run SQL queries

  • Visualizing Data

  • Cleaning Text
  • Text Representation
  • Sentiment Analysis

  • Time Series Forecasting
  • Forecasting using Prophet

  • Understanding the Maths of Machine Learning
  • Building Machine Learning Models (Regression and Classification)
  • Hyperparameter Tuning
  • AutoML

  • Building recommendation models
  • Segmenting customers using cluster analysis

  • Understanding the Maths of Deep Learning
  • Building a Deep Learning Model to Predict Stock Prices

  • Using AWS and GCP in Data Science

Learn from the Best Faculty

About The Institute

XLRI Jamshedpur

XLRI is one of India’s leading management school based in Jamshedpur, Jharkhand, India. Established in 1949 as the Xavier Labor Relations Institute, by Fr. Quinn Enright, XLRI is acknowledged as India’s oldest business management school.

XLRI with its single vision of Magis, i.e., pursuit of excellence, focuses on three areas: academic excellence, personal values and social concern. XLRI spares no effort to make its curriculum world-class and deliver it in the most effective manner. It constantly scans the developments in business and in society and tries to pro-act to meet the challenges. Its world-class faculty with its commitment and deep sense of service delivers the curriculum very effectively.

Consistently being acknowledged as the Best “HR Course” in Asia–Pacific, it has also been recognized for its research acumen by the London Business School and is ranked among top 5 research schools in India cutting across management and technical institutes. For more details, visit www.xlri.ac.in

Fee Structure for

Instalment Schedule

Block Payment
INR 10000 + GST Due by: 16 Feb, 2023
Block Payment
USD 200 Due by: 16, Feb, 2023
Balance Payment
INR 90000 + GST Due by: 23 Feb, 2023
Balance Payment
USD 1800 Due by: 23, Feb, 2023
OR
Pay for Total Amount
INR 100000 + GST Due by: 16, Feb, 2023
Pay for Total Amount
USD 2000 Due by: 16, Feb, 2023

Financial Aid

To learn more about financing your course, visit the course Financial Resources Hub

Why Should You Join a Program Offered Through Talentedge?

  • 95% Completion Rate
  • 92% Satisfaction score
  • 78% Referability
  • Live & Interactive Digital Learning
  • Convenient Schedules to Suit Working Professionals
  • Benefit from Talentedge’s Alumni Network
  • Practical/Hands-On Experiential Learning
  • Dedicated Student Support
  • Options for Loan Assistance

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