Business Analytics with R

Data Science commonly known as Business Analytics is one of the statistical and scientific approaches to derive insights from data and help in decision making. Going through this course you will be walked through numerous predictive models and how to derive results from those models. You will also learn when which models should be applied moving ahead. The predictive modeling in this course will be done using R only.
Course Summary
  • 80 hours of Instructor Led classes in R
  • Videos of classes available for one year after enrolment
  • Assignments and practice files available while learning
  • Support available 24x7
  • Fees: Rs. 25000 or 375 USD
Curriculum
  • Introduction to Business Analytics
    • Why Analytics?
    • Different types of Analytics
    • Applications of Analytics
  • R Fundamentals
    • Introduction to R and RStudio
    • CRAN
    • Using R Help
    • Loops in R
    • Statistics in R
    • Control Structures
    • Data Frames
    • Lists
    • Directories and Outputs
  • Basic Statistics in R
    • Basic Statistics
    • Correlations
    • Classical Tests (t, z, F)
    • ANOVA
    • Cross tabulation
  • Data Manipulation in R
    • Cleaning and Transforming data
    • Exploring and Visualizing data
    • Strings and Dates
    • Outlier detection
    • Logical Operators
    • Subscripting
    • Practice Assignment
  • Univariate Statistics
    • Data Distributions
    • Summarizing and measuring the data
  • Hypothesis Testing
    • Point Estimation
    • Central Limit Theorem
    • Confidence Intervals
    • Statistal Tests of Hypothesis Testing
    • ANOVA Test
    • Chisq and F-Test
  • Data Visualization
    • Creating basic charts
    • Other plotting functions
    • Plotting with ggplot2
    • Plotting and colouring in R
  • Data Preparation for modeling
    • Why data preparation?
    • Cleaning and Transforming Data
    • Exploring and Visualizing Data
    • Outlier Treatment
    • Handling Missing Values
    • Using SQL in R
    • Case Study
  • Linear Regression
    • Correlation
    • Linear Regression - What, How and Why?
    • Linear Regression Assumptions
    • Model Diagnostics
    • Case Studies
  • Logistic Regression
    • Why logistic and not linear?
    • Odds Ratio
    • Lift Chart, ROC Curves, KS Statistics
    • Case Studies
  • Clustering/Segmentation
    • Why do we need clustering?
    • Distance Types
    • Hierarchical Clustering
    • K-Means Clustering
    • Deciding number of clusters
    • Case Studies
  •  Decision Trees
    • Entropy
    • Deviance
    • Gini Impurity
    • C5.0
    • CHAID
    • CART
    • Random Forest
    • Case Studies
  • Time Series
    • What is Forecasting?
    • Why do we need Time Series?
    • Levels, Trends, Seasonality and Randomness
    • Holt-Winters Method
    • ARIMA
    • Case Studies
Demo video

single payment of $375

61 Responses

  1. Greetings! Very useful advice within this post! It’s the little changes that produce the biggest changes.
    Thanks a lot for sharing!

  2. Thanks a bunch for sharing this with all of us you actually recognize what
    you’re talking about! Bookmarked. Please also seek advice from my site =).
    We may have a link change agreement among us

  3. Fantastіc post however , I wwas wanting to know іf you could wriite a litte mpre on this topic?

    I’d be very thankful if you could elaborate a little bit fᥙrther.
    Many thanks!

  4. In summary, if you’re sick and tired with training or purging, starvation to
    shed poujds you can check out this new “fat reduction trick” since iit can assist you achieve excess
    fat loss goal quickly and naturally. Find activities that you simply ejoy and consider a fat burner iif you think
    as if you take some extra support. Losig weight isn’t complicated,
    nevertheless it’s definitely hard sometimes. http://adventuremate.hazblog.com/Primer-blog-b1/Follow-These-4-Rules-If-You-Want-Weight-Loss-Quick-b1-p13.htm

  5. I’d like to find out more? I’d like to find out some additional information.

  6. Having a coach like Tony Stark — a.k.a. Iron Man — it seems
    like Spider-Man’s going to reach the big style.

  7. This is the best Iron Man flick up to now, thanks to character work that is
    strong and a sharp, amusing program.

  8. To follow up on the update of this matter on your blog
    and would like to let you know how much I treasured
    the time you took to publish this valuable post. In the post,
    you actually spoke regarding how to definitely handle this problem with all convenience.

    It would be my personal pleasure to get together some more concepts from your blog and come up to offer some
    others what I have learned from you. Thanks for
    your usual excellent effort.

  9. Just to follow up on the update of this issue on your web site and
    would like to let you know how much I prized the time you took to create this handy post.
    Inside the post, you really spoke regarding how to truly handle this issue with all comfort.

    It would be my personal pleasure to gather some more suggestions from your
    web-site and come as much as offer other folks what I have benefited from you.
    I appreciate your usual great effort.

  10. Hey very cool web site!! Man .. Excellent .. Superb ..

    I’ll bookmark your blog and take the feeds additionally?
    I’m satisfied to seek out numerous helpful info here in the publish, we need
    develop more strategies on this regard, thanks for sharing.

    . . . . .

  11. Greate article. Keep writing such kind of information on your
    site. Im really impressed by your site.
    Hello there, You have done a great job. I’ll
    definitely digg it and in my view suggest
    to my friends. I’m sure they’ll be benefited from this web site.

Leave a comment