Udemy - Analytics for All: Beginners to Experts (2015)
MP4 | AVC 248kbps | English | 1280x720 | 15fps | 23 hours | AAC stereo 52kbps | 3.53 GB
Genre: Video Training
Analytics is a huge and steadily growing industry. There is so much that can be done with the enormous amount of data available to us. The big data and analytics market will reach $125 billion worldwide in 2015, according to IDC. Ready to get on the bandwagon? How do I increase my page’s Facebook likes? How do I know if blue or green would be good for my company’s logo? Which of the 10 methods would be most cost effective? Let analytics answer your questions and help you make data-backed, strategic and quicker decisions. Whether you’re new to the field and want to tip toe into analytics or you’ve taken the big dive and are ready to immerse yourself in the subject, this course is for you!
Acquire a deep understanding of analytics and the tools and techniques involved.
Our content is periodically updated to make sure we give you the best. Our course material is designed in a way to ensure that you’re gripped right from the basics. Become an expert in 8 weeks! We don’t just give you 143 lectures and 23+ hours of content,we provide you lifetime access to all the material to accommodate your busy work schedule.
Additionally, you can get all your questions answered on our discussion forum and find examples and solutions uploaded by us and other students. Stay connected with your professors and peers 24*7!
Analytics propels clarity and innovative thinking. At ATI, we are committed to get your mind churning the right way.
What’s in it for you?
·Automate work using Excel
·Learn to create dashboards and make your data visually appealing
·Hypothesis testing: Make no assumptions
·Ace Linear and Logistic Regression
·Use Cluster and Factor analysis to find associations
·Master R and SAS.
·SQL Basics
·15 case studies and regular quizzes to gauge your understanding.
What after the course?
·Enter a Kaggle competition, get recognized and win $100,000 or more?
·Start your own company? Artificial intelligence maybe?
·Get your company acquired by the big players?
·Write for the Wall Street Journal?
There is so much you can do with analytics - from predicting who will win a political election to foreseeing the occurrence of an earthquake; it is a world of uncertainty that can be made certain.
Enroll now!
And oh, it doesn’t end here,
Use our Facebook page to interact with thousands of other students and professionals. Keep up with the market and network with like minds.
01 Agenda
02 The analytics learning kit
03 Simple speak What is analytics
04 MS Excel Offload your work
05 Data Cleaning
06 Organizing data in Excel
07 Using Excel as a decision tool
08 writing smart Functions in Excel
09 Segmenting Data in Excel
10 Why create reports the tedious way
11 Showcasing your data with Excel
12 Case Study
13 Advanced Excel VBA MACROS - The A, B, Cs
14 Grammar
15 Learn more with hands-on Introducing the platform to write and automate
16 Small exercises to connect our learning so far
17 Implementation on a case study
18 Functions and Events can also be customised
19 Analytics
20 Hypothesis Testing How to prove something wrong
21 Linear regression Lines and dots
22 Logistic Regression
23 Titanic Case Study - Logistic Regression
24 Cluster analysis
25 Factor analysis Behind the scenes
26 Tips and tricks on Analytics - Do more than you thought you could
27 Case studies Real life data to test your brand new skills
28 R Getting Started
29 Advance Operations in R
30 R Section Task and Codes
31 Getting Started SAS
32 Data Understanding
33 Applying Conditions
34 Combining datasets
35 How to count in SAS
36 Getting SAS to do the math Mean, Median, etc
37 Save your results in different file formats
38 How to Export your data in different file formats
39 Functions Getting SAS to do the heavy lifting
40 Loops Why re-do
41 How to Make good Looking reports
42 Automating your projects
43 How to write SQL queries in SAS
44 Understand what the data wants to tell you
45 Case Studies
46 Fun with Data- Test your skills
47 Make Sense of Data
48 DATA CHALLENGE 1 - Work That Data
49 Case Study with solution
发布日期: 2015-07-27