Complete Data Analysis Course for Absolute Beginners 
₹8,640 Discount 100% OFF
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Learn the data analysis and visualizations using R and Excel. Data manipulation using SQL in Oracle / MySQL.
● 331 students Already Enrolled
● Created by Piyush S, insightEdge100.com
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↪ What You Will Learn?
◆ R programming from Beginning to Advance
◆ Learn to plot scatter , bar chart , histograms, time-series
◆ Start writing simple to the most advanced SQL queries in Oracle and MySQL
◆ Create own database in your laptop – Oracle and MySQL
◆ Acquisition Analytics to find out which customer segment is the profitable using EXCEL
◆ Data Visualizations using ggplot and Base plot
◆ Upload real world data like bank marketing data with 45,000 records
◆ Start using SQL queries on powerful R and Python console and plots graph for visualizations and data analysis
◆ Import / Export files from and to database
◆ Investment Case Study to identify the top3 countries and investment type to help the Asset Management Company to understand the global trends using EXCEL
↪ Course Content
- Passion for Data
**** Lifetime access to course materials . Udemy offers a 30-day refund guarantee for all courses ****
The course is packed with real life projects examples
- Get Transformed from Beginner to Expert .
- Become expert in R programming.
- Start using SQL queries in Oracle , MySQL
- Start doing the extrapolatory data analysis ( EDA) on any kind of data and start making the meaningful business decisions.
- Start writing simple to the most advanced SQL queries.
- Integrate R and Python with Database and execute SQL command on them for data analysis and Visualizations.
- Start making visualizations charts – bar chart , box plots which will give the meaningful insights
- Learn the art of Data Analysis , Visualizations for Data Science Projects
- Learn to play with SQL on R and Python Console.
- Integrate RDBMS database with R and Python
- Create own database in your laptop/Desktop – Oracle and MySQLImport and export data from and to external files.
Real world Case Studies Include the analysis from the following datasets
1. Bank Marketing datasets ( R )
2. Identify which customers are eligible for credit card issuance ( R)
3. Root Cause Analysis of Uber Demand Supply Gap ( R)
4. Investment Case Studies: To identify the top 3 countries and investment type to help the Asset Management Company to understand the global trends ( EXCEL)
5. Acquisition Analytics on the Telemarketing datasets : Find out which customers are most likely to buy future bank products using tele-channel. ( EXCEL) )
6. Market fact data.( SQL)
↪ Who this course is for:
- Beginners who are looking to start career in Data Engineering and Data Science
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