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
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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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