Part 5:Data Science And Wrangling
This part includes the following chapters:
- Chapter 11, Descriptive Statistics with SQL
- Chapter 12, Time Series with SQL
- Chapter 13, Outlier Detection
Raghav Kandarpa is an experienced Data Scientist in Finance and logistics industry with expertise in SQL, Python, Building Machine Learning Models, Financial Data Modelling, and Statistical Analysis. He holds a Masters' degree in Business Analytics specializing in Data Science from the University of Texas at Dallas.
Read more about Raghav Kandarpa
Shivangi Saxena is an experienced BI Engineer with proficiency in SQL, Data Visualization, and Statistical Analysis. She holds a master's degree in Information Technology and Management from the University of Texas at Dallas. She has several years of experience building several BI tools and products using SQL and BI reporting tools which has helped stakeholders to get visibility to the right data points
Read more about Shivangi Saxena
This part includes the following chapters:
Raghav Kandarpa is an experienced Data Scientist in Finance and logistics industry with expertise in SQL, Python, Building Machine Learning Models, Financial Data Modelling, and Statistical Analysis. He holds a Masters' degree in Business Analytics specializing in Data Science from the University of Texas at Dallas.
Read more about Raghav Kandarpa
Shivangi Saxena is an experienced BI Engineer with proficiency in SQL, Data Visualization, and Statistical Analysis. She holds a master's degree in Information Technology and Management from the University of Texas at Dallas. She has several years of experience building several BI tools and products using SQL and BI reporting tools which has helped stakeholders to get visibility to the right data points
Read more about Shivangi Saxena