Data Science Course Online Hyderabad Data Analytics online

Data Analyst online training, Job Support, Corporate training from India | USA | UK | Canada | Aus

Big data Analytics mostly involves aggregation data from completely different sources, munge it during a approach that it becomes available to be consumed by analysts and eventually deliver information product helpful to the organization business. the method of changing massive amounts of unstructured data, retrieved from completely different sources to a data product helpful for organizations forms the core of massive information Analytics.

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Big information Analytics Interview queries and Answers, Recorded Video Sessions, Materials, Mock Interviews Assignments are provided

Big information Analytics Agenda/Syllabus

(we will customise the course info as per your requirements)

Introduction to Data Science and Statistical Analytics:
Introduction to Data Science, Use cases
Need of Business Analytics
Data Science Life Cycle
Different tools available for Data Science

Introduction to R:
Installing R and R-Studio, R packages, R Operators, if statements and loops (for, while, repeat, break, next), switch case

Data Exploration, Data Wrangling and R Data Structure:
Data exploratory analysis
R Data Structure (Vector, Scalar, Matrices, Array, Data frame, List), Functions, Apply Functions

Data Visualization:
Bar Graph (Simple, Grouped, Stacked)
Histogram, Pi Chart
Line Chart
Box (Whisker) Plot, Scatter Plot

Introduction to Statistics:
Terminologies of Statistics
Measures of Centers
Measures of Spread
Probability
Normal Distribution
Binary Distribution
Hypothesis Testing
Chi Square Test
ANOVA

Predictive Modeling - 1:
Supervised Learning - Linear Regression ,Bivariate Regression, Multiple Regression Analysis, Correlation( Positive, negative and neutral)
Machine Learning Use-Cases, Machine Learning Process Flow, Machine Learning Categories

Predictive Modeling - 2:
Logistic Regression

Decision Trees:
What is Classification and its use cases?
What is Decision Tree?
Algorithm for Decision Tree Induction
Creating a Perfect Decision Tree
Confusion Matrix

Random Forest:
Random Forest
What is Naive Bayes?

Unsupervised learning:
What is Clustering & its Use Cases?
What is K-means Clustering?
What is Hierarchical Clustering?

Association Analysis and Recommendation engine:
Market Basket Analysis (MBA)
Association Rules
Apriori Algorithm for MBA
Introduction of Recommendation Engine
Types of Recommendation - User-Based and Item-Based
Recommendation Use-case