Recording Macro, Creating Excel VBA form, Fetching data from MS Access, Working with multiple sheets and workbook

4.1

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85,297 students

**How many courses has Gopal Prasad Malakar created?**

Gopal Prasad Malakar has created 16 digital courses and has taught a total of 116,274 students online. We found 10,361 reviews with an average rating of 4.2.

**How often does Gopal Prasad Malakar update their courses?**

We found that the last course update was in March 2021.

**How much do Gopal Prasad Malakar’s courses cost?**

Courses cost between $14.99 and $17.99.

**Are there coupons or discounts for Gopal Prasad Malakar’s courses?**

You can check the latest prices for all of Gopal Prasad Malakar’s courses here.

**Can I download Gopal Prasad Malakar’s courses?**

Yes, after you purchase courses on Udemy, you can download them to your devices so you can learn offline.

4.1

85,297 students

Analytics /Machine Learning / Data Science: Statistical / Econometrics foundation, SAS Program details, Modeling demo

4.8

6,224 students

Introduction and side by side comparison of Basel I / Basel II/ Basel III, Different Risk Measures & capital associated

4.3

4,284 students

Advanced data analysis in excel: Data Analysis tools (toolpak add-in) for statistics / solver for linear optimization

4.4

3,280 students

Statistics Simplified – Statistics Made Easy by Excel Simulations. Master fundamentals of statistics & Probability.

3.7

2,347 students

Analytics/ Supervised Machine Learning/ Data Science: CHAID / CART / Random Forest etc. workout (Python demo at the end)

4.1

1,835 students

Unsupervised Machine Learning : Hierarchical & non hierarchical clustering (k-means), theory & SAS / R program

4.3

1,946 students

Analytics / Machine Learning / Dimensionality Reduction : PCA & Factor Analysis using SAS and R program

4.4

811 students

Learn SAS programming through data workout. See sorting, merging, appending, graphs, tabulate, statistical procedure etc

3.7

923 students

Learn the syntax of SAS macro and see workout examples. understand use case, debugging, error handling, looping etc.

3.4

2,961 students

Basics of Risk, Marketing, Collections, Operations & Fraud Analytics. Know the objective, techniques & Success stories

4.0

4,661 students

Predictive Analytics – Learn R syntax for step by step logistic regression model development and validations

4.4

524 students

Analytics / Data Science: Learn to Import, Sort, Merge, Subset, Append, Freq, Univariate, Regression, Derive variable

3.8

541 students

Master: Association rules (MBA) & it’s usage, Linear Discriminant Analysis (LDA) for classification & variable selection

4.0

336 students

Dummy Variable regression (ANOVA / ANCOVA / structural shift), Conjoint analysis for product design Survey analysis

3.6

180 students

Machine learning algorithm (ANN) – simplified. See the use cases with R to understand the application

4.4

124 students