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CDS General Bipin Rawat Scholarship-2022-23
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Scholarship-2022
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Career In Defence
Fee – 2022-23
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CDS
AFCAT
Indian-Air-Force
Indian Navy
Indian Army
CAPF
Cost Guard
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Courses
Data Analytics
Introduction to Analytics using Excel
Conditional Formatting
Conditional Formatting
Text Functions
Conditional Formatting
Logocal Functions If, and or
Lookup functions : Vlookup, hlookup
Index and Match function
Date and Time Functions
Arithmatic functions
Statistical Functions
Sort and Filter
What if Analysis
Data summary using Pivot table
How to create Pivot Table
Aggregtaion using Pivot tables
Custom Aggregation in Pivot Table
Creating a Calculated Field
Using Slicer
Pivot table for Dashboarding
Data Visualization and Dashboarding
Cretaing Simple Charts
Creating a Combination Chart
Chart Styles and Formatting
Thermomenter Chart, Gant Chart Waterfall Chart
Pivot Charts
Interactive Charts for Dashboarding
SQL
What is SQL and SQL DataBase SQL Syntax
SQL : Create Table
SQL : Select and Select Distinct
SQL : Insert Update and delete functions
SQL : Group by, Order By, Having and Where statements
SQL : Statistical Functions – Min , Max, Sum, Avg, first, last
Python
Python Basics
Rs. 25000
Data Sciences
Introduction to R
Overview & History
IDEs of R
R vs Python
Why R for analytics
R Variables
R Operators
R objects – dataframe
Subsetting / Indexing : vectors , matrix dataframes list
Missing Values
Vectorised Operations
Programming fundamentals in R
Conditional Statements in R
Loops in R : for loop, while loop and repeat loop
Functions in R
R Packages
Built in Functions in R
Apply Family functions
Working with Dates in R
R Markdown
EDA - 1 : Data Wrangling
Data Wrangling
Reading Data in R
Subsetting Dataframes
Creating New Variables
Sorting Data
Data Summarising
Merging Data tables
Dplyr package for data manipulation
Data Visualization in R
1 Need of Data Visualization
Creating plots in R
1 Bar Chart
Pie Chart
Histogram
Kernel Density Plot
Box and Whisker Plot
Scatter plot
Line Chart
Heat Map
Word Cloud
ggplot2 for plotting
File format and graphic output
Introduction to R Shiny for data visualization
Hypothesis Testing
Hypothesis testing
Null and Alternate Hypothesis
Type 1 and Type 2 errors
Statistical significance
Hypothesis test procedure
p value in a hypotheis test
one sample hypothesis test
two sample hypothesis test
ANOVA
Non Paramteric Tests
Regression
Correlation
Regression analysis
Evaluation metrics for Regression : R squared adjusted R squared MSE RMSE
Assumptions of Regression
Multicollinearity
Non Linear Regression
Working with Categorical data
Validation Framework
Classification
Introduction to Classification
Logistic Regression
k-nearest neighbors(KNN)
Decision Trees
Random Forest
Support Vector Model
Naïve Bayes
Model Evaluation
Clustering
Introduction to Clustering
Clustering Vs Classification
Clustering Methods
K Means Clustering
Hierarchical Clustering
DBSCAN Clustering
Principal Component Analysis
Association Mining
Introduction to Association Mining
Apriori Algorithm
Apriori Basic Concepts
Apriori Working
Apriori in R
Applications of Association Rules
Rs. 68000
Machine Learning
Fundamentals of ML using Python
Introduction to Machine Learning
Applications of Machine Learning
Types of Machine Learning
Python essentials for Machine Learning
Data Pre Processing and Visualization
Data Wrangling using Pandas and NumPy
Data Summarizing
Univariate and Multivariate Plots
Handling Missing Values
Dealing with Categorical data
Scaling of data
Linear Predictors
Linear Regression
Cost Function
Gradient Descent
Regularization of Linear Regression
Logistic Regression
Classification Models
K Nearest Neighbour Classifiers
Decision Tree Regressors/ Classifiers
Naïve Bayes Classifier
Support Vector Machine Classifiers
Ensemble Learning
Bootstrap Aggregation – Bagging Algorithm
Gradient Boosting
Random Forest
Dimensionality Reduction
Principal Component Analysis – Unsupervised Dimensionality Reduction
Linear Discriminant Analysis – Supervised Dimensionality Reduction
Unsupervised Learning
Linkage Based Clustering – Hierarchical Clustering
K– Means Clustering
Spectral Clustering
Recommender Systems
What is recommender system
Prediction and Ranking Proble
Content Based Recommendation Systems
Collaborative Filters
Hybrid Recommenders
Time Series Analysis
Time Series: basic visualization and summary
Stationary Process , MA and AR Process
ARMA Models
Non Stationary Time Series Analysis : ARIMA models
Introduction to Text Analytics
NLTK Package
Tokenization
POS Tagging
Stemming and Lemmatization
Bag of Words, N Gram
Term Frequency – Inverse Document Frequency
Basic Text Classification Model
Using Deep Learning
Introduction to Artificial Neural Network
Deep Neural Network using Python
Optimization and Tuning of Deep Neural Network Models
Convolutional Neural Network
Recurrent Neural Networks:
Auto Encoders
SGD and Backpropagation
Reinforcement Learning
Rs. 75000