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Training on
Complete Guide to Business Analytics
Information Analysis & Decision Technique for Data Scientist

Klang Valley
31 JUL, 01 to 04 AUG, 2017
" Uncover the power of R for business planning
and decision making in a user-friendly environment ..."
Business Analytics is an extremely high-in-demand professional which requires a professional to possess sound knowledge of analyzing data in all dimensions and uncover the unseen truth coupled with the logic and domain knowledge to impact the top-line (increase business) and bottom-line (increase revenue).

This 5 day training program on Complete Guide to Business Analytics with R has been designed to prepare you to become a business decision maker and fit you in the business analytics space.
Today R is the most widely used programming language in data science and analytics space. It is open source in nature and very powerful, hence quickly becoming the language of choice for data scientists around the world. With a vibrant community, number of statistical packages and data visualization tools in R, it have become an essential tool for every data scientist. With the immense skill gap for analytics professionals this data science workshop is the first step in this field.
From Day 3, the training program will equip you with predictive modeling techniques, which cover regression analysis in making prediction, data segmentation and classification analysis for marketing analytics and time series analysis for forecasting using R programming language.
This course has been structured for the beginners in the field of data analytics. This data science training workshop will make you a proficient at understanding the business problem, explore the insight from the data using R. select appropriate predictive modeling techniques to train models to help you making accurate business decisions.


Course Benefit:
By the end of the training, participants will be able to:
- Understand fundamentals of statistics used for making business decisions
- Work on data exploration, data visualization and decision making with the use of data analysis
- Gain fundamental knowledge on analytics and how it assists with decision making.
- Work with confidence using the R language.
- Develop a structured approach to use statistical techniques and R language.
- Perform sharp data analysis to make business decisions.
- Understand concepts of predictive modeling and their importance in business decision making.
- Understand & work on statistical concepts like linear & logistic regression, cluster analysis, classification techniques and forecasting using R.
- Understand the concepts of model calibration, validation and prediction.

Course Outline

  • Introduction to business analytics
    • What is analytics and its importance
    • Analytics and current scenario
    • Application of analytics
    • Different kinds of analytics
      (Descriptive and predictive)
    • Concept of machine learning
  • Introduction to R
    • Installation of R & R Studio
    • Understanding R environment
    • Getting started with R
    • Data types in R
    • Variable operators in R
    • Data vectors & data frames
    • Reading and writing data files to R
  • Statistics for business decision making
    • Data and data types
    • Concept of variation
    • Measures for central tendency
    • Measure for variability
    • Normal distribution curve
    • Probability calculation using normal distribution curve
  • Data visualization using graphical tools
    • Pareto diagram / Bar chart / Pie chart / Histogram / Box plot / Scatter plot
  • Hypothesis testing and statistical tests
    • Principle of hypothesis testing
    • Statistical tests ( 1-sample-z, 1-sample-t, 2-sample-t)
    • ANOVA
    • Correlation & Regression
  • Regression analysis
    • Simple linear regression
    • Multiple linear regression
    • Logistic regression
  • Segmentation/Classification for marketing analysis
    • Cluster Analysis (Hierarchical clustering, K-means clustering)
    • Decision tree
    • Random Forest
  • Time series analysis
    • Concept of time series
    • Trends, seasons and cycles
    • Exponential smoothing
    • ARIMA
  • Business Case Studies

Who Should Attend
This course is meant for all those students and professionals who are interested in working in analytics industry and are keen to enhance their technical skills with exposure to cutting-edge practices. This is a great course for all those who are ambitious to become 'Data Analysts' in near future. This is a must learn course for professionals from Mathematics, Statistics or Economics background and interested in learning Business Analytics.

Math skills, knowledge of basic statistics. No prior knowledge of R is required to attend this program.

Note: Due to the nature of the course and the learning expectations, the availability seats are limited. You need to register early to obtain confirmation of your space.

31 JUL, 01 to 04 AUG, 2017 @ MY

Venue : Klang Valley
10 % Early Registration Discount before 30 JUN 2017
10 % Group Discount for 3 or more from same organization

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