Analytics For All
Analytics For All, available at $34.99, has an average rating of 4.35, with 171 lectures, 7 quizzes, based on 267 reviews, and has 2783 subscribers.
You will learn about Application oriented course for data scinece Participants gain hands on experience in dealing with data Focus on foundational aspects of statistics and predictive modelling techniques Learn to implement Data Manipulation, Data management and Textual Analytics Basics through R This course is ideal for individuals who are Anyone who wants to learn Data Science or Beginners to freelancers or This is great for folks who want to understand and starting using data and building basic predictive modes It is particularly useful for Anyone who wants to learn Data Science or Beginners to freelancers or This is great for folks who want to understand and starting using data and building basic predictive modes.
Enroll now: Analytics For All
Summary
Title: Analytics For All
Price: $34.99
Average Rating: 4.35
Number of Lectures: 171
Number of Quizzes: 7
Number of Published Lectures: 171
Number of Published Quizzes: 7
Number of Curriculum Items: 178
Number of Published Curriculum Objects: 178
Original Price: ₹7,900
Quality Status: approved
Status: Live
What You Will Learn
- Application oriented course for data scinece
- Participants gain hands on experience in dealing with data
- Focus on foundational aspects of statistics and predictive modelling techniques
- Learn to implement Data Manipulation, Data management and Textual Analytics Basics through R
Who Should Attend
- Anyone who wants to learn Data Science
- Beginners to freelancers
- This is great for folks who want to understand and starting using data and building basic predictive modes
Target Audiences
- Anyone who wants to learn Data Science
- Beginners to freelancers
- This is great for folks who want to understand and starting using data and building basic predictive modes
This course helps you learn simple but powerful ways to work with data.
It is designed to be help people with limited statistical or programming skills quickly become productive in an increasingly digitized workplace.
In this course you will use R (an open-sourced, easy to use data mining tool) and practice with real life data-sets.
We focus on the application and provide you with plenty of support material for your long term learning.
It also includes a project that you can attempt when you feel confident in the skills you learn.
Course Curriculum
Chapter 1: Welcome
Lecture 1: Our course design
Lecture 2: Agenda
Lecture 3: Course Material For AFA
Chapter 2: Hypothesis Testing
Lecture 1: Telecom Churn- Case under Study
Lecture 2: The basics-High School Math you've probably forgotten
Lecture 3: Mean and Medians
Lecture 4: Probability: The reason you probably haven't won the lottery
Lecture 5: Confidence Intervals
Lecture 6: Hypothesis Testing
Lecture 7: ANOVA: Your car brand and your dinner bill
Lecture 8: T Stat- Your first new Statistic
Lecture 9: Example
Lecture 10: 1 sample t test- Checking Means
Lecture 11: 2-sample T test: Does TV make you buy things?
Lecture 12: Annova
Lecture 13: Goodness of Fit
Lecture 14: Chi Square TOI: One Category on another
Lecture 15: Cheat Sheet: So you don't have to remember all of it
Lecture 16: Questions you might have.
Chapter 3: Linear regression
Lecture 1: Pedagogy
Lecture 2: What is a predictive model?
Lecture 3: Building your first model using R
Lecture 4: Step 2: Use the lm function
Lecture 5: Step 3: Split your data
Lecture 6: Step 4: Model selection
Lecture 7: Step 5: Multicollinearity
Lecture 8: Predictions and quality checks
Lecture 9: FAQ
Chapter 4: Logistic Regression
Lecture 1: How to spot dissatisfied customers
Lecture 2: The math behind it
Lecture 3: Building a logistic regression using R
Lecture 4: Step 1: Import your data
Lecture 5: Step 2: Use the "glm" function to build a model
Lecture 6: Step 3: Split your data
Lecture 7: Step 4: Model selection
Lecture 8: Step 5: Make your predictions
Lecture 9: Step 6: Checking your model performance
Chapter 5: Cluster analysis
Lecture 1: Segmenting data with K-Means algorithm
Lecture 2: Import your data
Lecture 3: Specify number of clusters
Lecture 4: Interpret your cluster output
Lecture 5: FAQ
Lecture 6: Where do we use factor analysis
Lecture 7: FACTANAL READ ME
Lecture 8: Using R for factor analysis
Chapter 6: Factor analysis
Lecture 1: Computing factor loadings
Lecture 2: Scoring survey
Lecture 3: FAQ
Chapter 7: Project
Lecture 1: Elections data
Chapter 8: Advanced reading
Lecture 1: How cluster analysis is at the heart of Amazon's business model
Chapter 9: DATA CHALLENGE – Work That Data
Lecture 1: THE RULES
Lecture 2: Data Set 1: Meteorite Data
Lecture 3: How good are you with choosing the right flower?
Lecture 4: Data Set 2: Groundwater Depletion Rates
Lecture 5: Data Set 3: Exam Data
Lecture 6: Which car would you buy?
Chapter 10: DATA CHALLENGE
Lecture 1: RULES of the GAME
Lecture 2: Titanic Data Set
Chapter 11: Case Study (With Solution)
Lecture 1: This is for the retailers – You can never go wrong with this
Lecture 2: Don't Let Your Customers say Bye to You
Lecture 3: This could be the reason you never gain weight
Lecture 4: Snails- Yes, Those Slimy Little Creatures
Lecture 5: Are you being Targeted?
Lecture 6: How old was the last abalone you had?
Lecture 7: Why would you migrate to another state?
Lecture 8: Do you eat enough?
Lecture 9: Back to school
Lecture 10: Can you differentiate between a real and a fake note?
Lecture 11: How hard is it to keep warm?
Chapter 12: R: Introduction to R
Lecture 1: Lecture 70 : R Getting started
Lecture 2: Know your tool: Installing R and R studio
Lecture 3: Getting to know the Studio
Chapter 13: Under the Hood
Lecture 1: Working Directory – Understanding the concept
Lecture 2: Data Types: Your Raw Ingredients
Lecture 3: Basic Operations in R
Lecture 4: Basic Operations in R (Contd)
Lecture 5: Basic Operations in R (Contd)
Lecture 6: Introduction to Data Structures : Vector
Lecture 7: Lecture 75: Data Structures: Dataframe
Lecture 8: Set Operations with Dataframes
Instructors
-
ATI – Analytics Training Institute
Committed to creating a difference
Rating Distribution
- 1 stars: 22 votes
- 2 stars: 23 votes
- 3 stars: 54 votes
- 4 stars: 82 votes
- 5 stars: 86 votes
Frequently Asked Questions
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Can I take my courses with me wherever I go?
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