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Data Analysis
If you want to learn about the C (programming language) then you don’t need any prior knowledge or experience, absolute beginners can also apply.
Course content
Section 1 : Course Introduction
Section 2 : Compare Business Intelligence Vs Data Science
Section 3 : What is Current Analytical Architecture in Data Analysis ?
Section 4 : What is Hypothesis Testing ?
Section 5 : What is Wilcoxon Rank Sum Testing Easiest ?
Section 6 : What is Regression Analysis ?
Section 7 : What is Linear Regression And Logistic Regression ?
Section 8 : What is K means Clustering Algorithm ?
Section 9 : What is Apriori Algorithm in Data Mining And Analytics ?
Section 10 : Explain Apriori Algorithm (Generating Association Rules).
Section 11 : What is Decision Tree Algorithm ?
Section 12 : What is Naive Bayes Classifier Data Mining And Warehousing ?
Section 13 : What is Data Visualization and objectives of Data Visualization ?
Section 14 : What is Hadoop ?
Section 15 : What is Hadoop Architecture ?
Section 16 : What is Map Reduce ?
Section 17 : What is Hadoop Distributed File System ?
Section 18 : How Hadoop Works ?
Section 19 : Hadoop (Advantages and Disadvantages).
Section 20 : What is Hadoop Ecosystem and It's Components ?
Section 21 : What is Apache Hive ?
Section 22 : What is Apache Pig ?
Section 23 : What is Apache HBase ?
Section 24 : What is Apache Mahout ?
Section 25 : Challenges to Big Data Visualization
Section 26 : What are the 4 V's Of Big Data ?
Section 27 : What are the Techniques For Visual Data Representation ?
Section 28 : What are the Types Of Data Visualization ?
Section 29 : What is the Confusion Matrix ?
Section 30 : What are the Decision Tree Important Points ?
Section 31 : What is the ID3 Algorithm ?
Section 32 : What are the Analytical Techniques Used For Big Data Visualization ?
Section 33 : What are the Tools Used in Data Visualization ?
Section 34 : What are the Logistic Regression ?
Description
Data analysis is the most common way of studying or controlling a dataset to acquire a sort of understanding. Generally, the knowledge can be utilized to illuminate a choice or activity. It incorporates everything from basic number related tasks to complex factual computations. A great many people lead data analysis consistently.
What will you learn?
- You will get to know how to work with sets and Level of Detail Calculations
- You will understand the inner workings of the data analytics
- Connect to different data sources such as Excel, Google Sheets and even servers
- You will get to know about the BEST practices for data analysis and data presentation
- You will get to know how to transform Data into INSIGHT and INTELLIGENCE using powerful methods of analysis, techniques and tools
- You will get to know about 8 different techniques for DATA ANALYSIS that can be easily implemented in Excel
What will you get after doing this program?
- Different data sources such as Excel, Google Sheets and Cloud Servers.
- Learn creating bar charts, line charts, donut charts, maps, tables and dual axis charts.
- Learn how to create sets, hierarchies and groups.
- You will learn and understand how joins work.
- You will understand the Level Of Detail calculations.
- Create Parameters.
- Creating a dashboard which updates daily via google sheets.
Requirements
If you want to learn about the Data Analysis then you just need a basic knowledge of computers and an internet connection.
Certificate of completion
After the completion of your program you will get a - program completion certificate from Umezy.
30 Days Money Back Guarantee
Umezy.com operates a 30 day full money back guarantee with no questions asked! If any of the candidate it not satisfied with this program you can request for your money back. Now click on the “Buy Now” at the right side of this page to unlock the course.
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₹ 4,500
This course includes:
- Doubt Session
- Full lifetime access
- Access on mobile and TV
- Certificate of completion
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