WorldCat Identities

Malik, Upom

Overview
Works: 14 works in 36 publications in 2 languages and 991 library holdings
Roles: Author, Contributor, Other
Publication Timeline
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Most widely held works by Upom Malik
The applied SQL data analytics workshop : develop your practical skills and prepare to become a profesional data analyst by Matt Goldwasser( )

6 editions published in 2020 in English and held by 463 WorldCat member libraries worldwide

"The Applied SQL Data Analytics Workshop is the ideal companion on your journey to extracting information from raw business data. Whether it's importing data, analyzing complex data types, or optimizing your queries, this book equips you with the skills you need to build your knowledge in data analysis with SQL."--
SQL for Data Analytics : Perform fast and efficient data analysis with the power of SQL by Upom Malik( )

9 editions published in 2019 in English and held by 444 WorldCat member libraries worldwide

"Understanding and finding patterns in data has become one of the most important ways to improve business decisions. If you know the basics of SQL, but don't know how to use it to gain business insights from data, this book is for you. SQL for Data Analytics covers everything you need in order to progress from simply knowing basic SQL to telling stories and identifying trends in data. You'll be able to start exploring your data by identifying patterns and unlocking deeper insights. You'll also gain experience working with different types of data in SQL, including time series, geospatial, and text data. Finally, you'll understand how to become productive with SQL with the help of profiling and automation to gain insights faster. By the end of the book, you'll able to use SQL in everyday business scenarios efficiently and look at data with the critical eye of an analytics professional"--
The Applied SQL Data Analytics Workshop - Second Edition by Matt Goldwasser( )

5 editions published in 2020 in English and Undetermined and held by 21 WorldCat member libraries worldwide

Take a step-by-step approach to learning SQL data analysis in this interactive workshop that uses fun exercises and activities to make learning data analytics for beginners easy and approachable. Key Features Explore ways to use SQL for data analytics and gain key insights from your data Study advanced analytics, such as geospatial and text analytics Discover ways to integrate your SQL pipelines with other analytics technologies Book Description Every day, businesses operate around the clock and a huge amount of data is generated at a rapid pace. Hidden in this data are key patterns and behaviors that can help you and your business understand your customers at a deep, fundamental level. Are you ready to enter the exciting world of data analytics and unlock these useful insights? Written by a team of expert data scientists who have used their data analytics skills to transform businesses of all shapes and sizes, The Applied SQL Data Analytics Workshop is a great way to get started with data analysis, showing you how to effectively sieve and process information from raw data, even without any prior experience. The book begins by showing you how to form hypotheses and generate descriptive statistics that can provide key insights into your existing data. As you progress, you'll learn how to write SQL queries to aggregate, calculate and combine SQL data from sources outside of your current dataset. You'll also discover how to work with different data types, like JSON. By exploring advanced techniques, such as geospatial analysis and text analysis, you'll finally be able to understand your business at a deeper level. Finally, the book lets you in on the secret to getting information faster and more effectively by using advanced techniques like profiling and automation. By the end of The Applied SQL Data Analytics Workshop, you'll have the skills you need to start identifying patterns and unlocking insights in your own data. You will be capable of looking and assessing data with the critical eye of a skilled data analyst. What you will learn Understand what data analytics is and why it is important Experiment with data analytics using basic and advanced queries Interpret data through descriptive statistics and aggregate functions Export data from external sources using powerful SQL queries Work with and manipulate data using SQL joins and constraints Speed up your data analysis workflow by automating tasks and optimizing queries Who this book is for
Applied SQL Data Analytics Workshop : a Quick, Interactive Approach to Learning Analytics with SQL, 2nd Edition. by Upom Malik( )

1 edition published in 2020 in English and held by 16 WorldCat member libraries worldwide

Cut through the noise and get real results with a step-by-step approach to learning about SQL data analysis
The applied SQL data analytics workshop : build and manage large-scale data applications with SQL by Matt Goldwasser( )

1 edition published in 2020 in English and held by 15 WorldCat member libraries worldwide

SQL for data analysis : perform fast and efficient data analysis with the power of SQL by Upom Malik( Book )

5 editions published in 2019 in English and held by 12 WorldCat member libraries worldwide

Take your first steps to become a fully qualified data analyst by learning how to explore large relational datasets Key Features Explore a variety of statistical techniques to analyze your data Integrate your SQL pipelines with other analytics technologies Perform advanced analytics such as geospatial and text analysis Book Description Understanding and finding patterns in data has become one of the most important ways to improve business decisions. If you know the basics of SQL, but don't know how to use it to gain the most effective business insights from data, this book is for you. SQL for Data Analytics helps you build the skills to move beyond basic SQL and instead learn to spot patterns and explain the logic hidden in data. You'll discover how to explore and understand data by identifying trends and unlocking deeper insights. You'll also gain experience working with different types of data in SQL, including time-series, geospatial, and text data. Finally, you'll learn how to increase your productivity with the help of profiling and automation. By the end of this book, you'll be able to use SQL in everyday business scenarios efficiently and look at data with the critical eye of an analytics professional. What you will learn Perform advanced statistical calculations using the WINDOW function Use SQL queries and subqueries to prepare data for analysis Import and export data using a text file and psql Apply special SQL clauses and functions to generate descriptive statistics Analyze special data types in SQL, including geospatial data and time data Optimize queries to improve their performance for faster results Debug queries that won't run Use SQL to summarize and identify patterns in data Who this book is for If you're a database engineer looking to transition into analytics, or a backend engineer who wants to develop a deeper understanding of production data, you will find this book useful. This book is also ideal for data scientists or business analysts who want to improve their data analytics skills using SQL. Knowledge of basic SQL and database concepts will aid in understanding the concepts covered in this book
The Applied SQL Data Analytics Workshop : A Quick, Interactive Approach to Learning Analytics with SQL by Upom Malik( )

1 edition published in 2020 in English and held by 11 WorldCat member libraries worldwide

The Applied SQL Data Analytics Workshop : Develop your practical skills and prepare to become a professional data analyst by Matt Goldwasser( )

2 editions published in 2020 in English and held by 3 WorldCat member libraries worldwide

Finally, the book lets you in on the secret to getting information faster and more effectively by using advanced techniques like profiling and automation.By the end of The Applied SQL Data Analytics Workshop, you'll have the skills you need to start identifying patterns and unlocking insights in your own data.
SQL : analiza danych za pomocą zapytań : warsztaty praktyczne( Book )

1 edition published in 2022 in Polish and held by 1 WorldCat member library worldwide

SQL for Data Analytics by Upom Malik( )

1 edition published in 2019 in English and held by 1 WorldCat member library worldwide

Take your first steps to become a fully qualified data analyst by learning how to explore large relational datasets. Key Features Explore a variety of statistical techniques to analyze your data Integrate your SQL pipelines with other analytics technologies Perform advanced analytics such as geospatial and text analysis Book Description Understanding and finding patterns in data has become one of the most important ways to improve business decisions. If you know the basics of SQL, but don't know how to use it to gain business insights from data, this book is for you. SQL for Data Analytics covers everything you need progress from simply knowing basic SQL to telling stories and identifying trends in data. You'll be able to start exploring your data by identifying patterns and unlocking deeper insights. You'll also gain experience working with different types of data in SQL, including time-series, geospatial, and text data. Finally, you'll understand how to become productive with SQL with the help of profiling and automation to gain insights faster. By the end of the book, you'll able to use SQL in everyday business scenarios efficiently and look at data with the critical eye of analytics professional. What you will learn Use SQL to summarize and identify patterns in data Apply special SQL clauses and functions to generate descriptive statistics Use SQL queries and subqueries to prepare data for analysis Perform advanced statistical calculations using the window function Analyze special data types in SQL, including geospatial data and time data Import and export data using a text file and PostgreSQL Debug queries that won't run Optimize queries to improve their performance for faster results Who this book is for If you're a database engineer looking to transition into analytics, or a backend engineer who wants to develop a deeper understanding of production data, you will find this book useful. This book is also ideal for data scientists or business analysts who want
SQL for Data Analytics by Upom Malik( )

1 edition published in 2019 in English and held by 1 WorldCat member library worldwide

Take your first steps to become a fully qualified data analyst by learning how to explore large relational datasets. Key Features Explore a variety of statistical techniques to analyze your data Integrate your SQL pipelines with other analytics technologies Perform advanced analytics such as geospatial and text analysis Book Description Understanding and finding patterns in data has become one of the most important ways to improve business decisions. If you know the basics of SQL, but don't know how to use it to gain business insights from data, this book is for you. SQL for Data Analytics covers everything you need progress from simply knowing basic SQL to telling stories and identifying trends in data. You'll be able to start exploring your data by identifying patterns and unlocking deeper insights. You'll also gain experience working with different types of data in SQL, including time-series, geospatial, and text data. Finally, you'll understand how to become productive with SQL with the help of profiling and automation to gain insights faster. By the end of the book, you'll able to use SQL in everyday business scenarios efficiently and look at data with the critical eye of analytics professional. What you will learn Use SQL to summarize and identify patterns in data Apply special SQL clauses and functions to generate descriptive statistics Use SQL queries and subqueries to prepare data for analysis Perform advanced statistical calculations using the window function Analyze special data types in SQL, including geospatial data and time data Import and export data using a text file and PostgreSQL Debug queries that won't run Optimize queries to improve their performance for faster results Who this book is for If you're a database engineer looking to transition into analytics, or a backend engineer who wants to develop a deeper understanding of production data, you will find this book useful. This book is also ideal for data scientists or business analysts who want
SQL for Data Analytics by Upom Malik( )

1 edition published in 2019 in English and held by 1 WorldCat member library worldwide

Take your first steps to become a fully qualified data analyst by learning how to explore large relational datasets. Key Features Explore a variety of statistical techniques to analyze your data Integrate your SQL pipelines with other analytics technologies Perform advanced analytics such as geospatial and text analysis Book Description Understanding and finding patterns in data has become one of the most important ways to improve business decisions. If you know the basics of SQL, but don't know how to use it to gain business insights from data, this book is for you. SQL for Data Analytics covers everything you need progress from simply knowing basic SQL to telling stories and identifying trends in data. You'll be able to start exploring your data by identifying patterns and unlocking deeper insights. You'll also gain experience working with different types of data in SQL, including time-series, geospatial, and text data. Finally, you'll understand how to become productive with SQL with the help of profiling and automation to gain insights faster. By the end of the book, you'll able to use SQL in everyday business scenarios efficiently and look at data with the critical eye of analytics professional. What you will learn Use SQL to summarize and identify patterns in data Apply special SQL clauses and functions to generate descriptive statistics Use SQL queries and subqueries to prepare data for analysis Perform advanced statistical calculations using the window function Analyze special data types in SQL, including geospatial data and time data Import and export data using a text file and PostgreSQL Debug queries that won't run Optimize queries to improve their performance for faster results Who this book is for If you're a database engineer looking to transition into analytics, or a backend engineer who wants to develop a deeper understanding of production data, you will find this book useful. This book is also ideal for data scientists or business analysts who want
SQL analiza danych za pomocą zapytań : warsztaty praktyczne : nauka o danych i sztuczna inteligencja by Matt Goldwasser( Book )

1 edition published in 2022 in Polish and held by 1 WorldCat member library worldwide

SQL for Data Analytics by Upom Malik( )

1 edition published in 2019 in English and held by 1 WorldCat member library worldwide

Take your first steps to become a fully qualified data analyst by learning how to explore large relational datasets. Key Features Explore a variety of statistical techniques to analyze your data Integrate your SQL pipelines with other analytics technologies Perform advanced analytics such as geospatial and text analysis Book Description Understanding and finding patterns in data has become one of the most important ways to improve business decisions. If you know the basics of SQL, but don't know how to use it to gain business insights from data, this book is for you. SQL for Data Analytics covers everything you need progress from simply knowing basic SQL to telling stories and identifying trends in data. You'll be able to start exploring your data by identifying patterns and unlocking deeper insights. You'll also gain experience working with different types of data in SQL, including time-series, geospatial, and text data. Finally, you'll understand how to become productive with SQL with the help of profiling and automation to gain insights faster. By the end of the book, you'll able to use SQL in everyday business scenarios efficiently and look at data with the critical eye of analytics professional. What you will learn Use SQL to summarize and identify patterns in data Apply special SQL clauses and functions to generate descriptive statistics Use SQL queries and subqueries to prepare data for analysis Perform advanced statistical calculations using the window function Analyze special data types in SQL, including geospatial data and time data Import and export data using a text file and PostgreSQL Debug queries that won't run Optimize queries to improve their performance for faster results Who this book is for If you're a database engineer looking to transition into analytics, or a backend engineer who wants to develop a deeper understanding of production data, you will find this book useful. This book is also ideal for data scientists or business analysts who want
 
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The applied SQL data analytics workshop : develop your practical skills and prepare to become a profesional data analyst Applied SQL Data Analytics Workshop : a Quick, Interactive Approach to Learning Analytics with SQL, 2nd Edition. The Applied SQL Data Analytics Workshop : A Quick, Interactive Approach to Learning Analytics with SQL
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SQL for Data Analytics : Perform fast and efficient data analysis with the power of SQLThe Applied SQL Data Analytics Workshop - Second EditionApplied SQL Data Analytics Workshop : a Quick, Interactive Approach to Learning Analytics with SQL, 2nd Edition.The applied SQL data analytics workshop : build and manage large-scale data applications with SQLSQL for data analysis : perform fast and efficient data analysis with the power of SQLThe Applied SQL Data Analytics Workshop : A Quick, Interactive Approach to Learning Analytics with SQLThe Applied SQL Data Analytics Workshop : Develop your practical skills and prepare to become a professional data analyst
Languages
English (33)

Polish (2)