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SQL for Data Analysis and Data Science in 2021

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4.625(811 students)

Self-paced

All Levels

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This course will make you SQL query expert it's a complete SQL boot camp and, You'll learn the skills you need to retrieve insightful data from a database. There are many test your self quizzes distributed over the course the course with detailed solutions so you to practice more and more . After completing this course and all of it's quizzes and the Final exam, you will be comfortable with using SQL & PostgreSQL in data analysis and data science by SQL Challenges and Final Exam and moreYou will learn many tips and tricks in PostgreSQL to query data through the following Topics covered in this course:Using Real World PostgreSQL Database Airlines Database.What is a DatabaseSQL database for beginners.Installing PostgreSQL database.Creating Tables in database using SQL.Drop table from SQL databaseSELECT Statement use with SQL database data querying WHERE Clause use with SQL database data querying Operators used with Where clause in SQL database data querying .AND & OR use with SQL database data querying like use with SQL database data querying .Filtering Operators use with SQL database data querying .ORDER BY use with SQL database data querying .LIMIT use with SQL database data querying .DISTINCT use with SQL database data querying .Renaming Column in SQL database.Functions use with SQL database data querying .GROUP BY & HAVING Clauses use with database data querying .Aggregation Queries in SQL database.Table Joins in SQL database.INNER and OUTER Joins in SQL database.UNION, UNION ALL, INTERSECT and EXCEPT Clauses use with SQL database data querying.Sub-queries use with SQL database data querying .Correlated Sub queries use with SQL database data querying.CASE Clause use with database data querying .Time & date data in SQL in database.Using Python with SQL Postgres database.Using Python to load Postgres Data Output file.Using Python Pandas to Analyze and visualize Postgres Data Output.Window Functions for Analytics in SQL database.Test Your Self SQL Quizzes distributed throughout this course.Challenges for more SQL practice in this course.

Final Exam in SQL database data querying.

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Duration: Self-paced

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Python & SQL Programming course, full Guide for Data Analysts, Python & SQL Programmers also Python & SQL Developers in a simple and easy way with Python Examples, Python quizzes, Resources , Python OOP , Python Data Analysis, Python Database Python Apps & Python Scripting to master Python 3 & SQL from zero to hero For Data Analysis & Data Science in this course and from beginner to advanced.What you will learn in this course ?Learn Python by doing Real World Projects in, Python Data Analysis, Python Database & Python Scripting.In this course you will learn how to Install Python 3.In this course you will learn how to use python IDLE.In this course you will learn how to choose Python IDE to learn coding.In this course you will learn how to Install Anaconda for Python coding.In this course you will learn how to use Online Jupyter for Python Programming.In this course you will learn how to use Python IDLE.In this course you will learn how What the difference between Variables & Operators in Python.In this course you will learn Operators Types in Python.In this course you will learn Python Data Types.In this course you will learn String Functions & entries in Python.In this course you will learn how to use Input String Function in Python.In this course you will learn Python Data Structures.In this course you will learn how to create Lists & lists operations in Python.In this course you will learn how to create Dictionaries & Dictionaries operations in Python .In this course you will learn how to create Tuples & Tuples operations in Python.In this course you will learn and when to use For Loop in Python. to create Sets & Sets operations in Python.In this course you will learn how and when to use Control Flow and Loops in Python.In this course you will learn IF Statement and control flow in Python.In this course you will learn how and when to use For Loop in Python.In this course you will learn how and when to use While Loop in Python.In this course you will learn how to Handle Errors in your Python programs.In this course you will learn how and when to use Python Functions.In this course you will learn how and when to create functions in Python.In this course you will learn how and when to use Lambda Expression in Python.In this course you will learn how to create and use to Python Modules.Lear how to use Python to open files.Learn coding in Python by examples in this course.Apply what you will learn in Python through exercises in this course.Recap files to review what will learn in Python in this course.Why to master Python Programming Language by this course ?Python is a high level programming language, strong, elegant, and easy to learn.Python is Faster than R programming language when used for data science.Python Has lots of libraries which facilitate its use for data analysis.Python is Objective oriented programming Language so you can use objects when coding in python.Python is Free open source programming language.Python can be used for a large variety of programming tasks, such as for desktop applications, game programming and mobile development all of that can be done using Python programming Language.Python is a cross platform language, which means that code written for one operating system, such as Windows, will work well on Mac OS or Linux without making any changes to the Python code.Also you will learn many tips and tricks in PostgreSQL to query data through the following Topics covered in this course:Using Real World PostgreSQL Database Airlines Database.What is a DatabaseSQL database for beginners.Installing PostgreSQL database.Creating Tables in database using SQL.Drop table from SQL databaseSELECT Statement use with SQL database data querying WHERE Clause use with SQL database data querying Operators used with Where clause in SQL database data querying .AND & OR use with SQL database data querying like use with SQL database data querying .Filtering Operators use with SQL database data querying .ORDER BY use with SQL database data querying .LIMIT use with SQL database data querying .DISTINCT use with SQL database data querying .Renaming Column in SQL database.Functions use with SQL database data querying .GROUP BY & HAVING Clauses use with database data querying .Aggregation Queries in SQL database.CASE Clause use with database data querying .Time & date data in SQL in database.Challenges for more SQL practice in this course. Why you Should Learn Structured Query Language (SQL)? SQL used to be originally created to enable non-IT professionals to query facts from datasets except wanting to ask a programmer for help. SQL aimed to be a whole lot greater effective than interfaces such as question through example, and greater bendy than prebuild reports. The goal was once to enable new approaches of inspecting and querying present data.SQL is a declarative language – the consumer tells the database which information is required and the database decides how to function the command. The emphasis is on the end result of the manner rather than the technique itself – the ends as an alternative than the means. This contrasts to the ancient way of programming, in which the user had to describe the statistics gathering step-by-step. However, the success and efficiency of SQL depends upon customers asking the right questions, and this is where SQL can help. SQL teaches database users how to pleasant phrase their questions in order to receive the fastest, most accurate solutions from the database.Besides being in a position to use SQL to query databases, gaining knowledge of it additionally encourages us to build effective mental fashions to suppose about data. We acquire and store more and greater facts – and being be successful of reasoning that statistics is a effective mental ability. Just suppose of all the records accrued by using large social networks or corporations that defend the free world!PostgreSQL is free, open and unlimited, PostgreSQL is on hand for free and it is open. It will by no means be bought. This makes it the exceptional device for getting to know about relational databases. PostgreSQL has very exhaustive and designated documentation. Although hard on the beginner – it is challenging to discover an easy entry factor – having mastered the first step, you will in no way run out of facts to further your knowledge.May also be the ultimate reply when your development stalls – which isn’t precisely comforting, but a lot better than knowing there is no viable answer.Relational databases are nonetheless the workhorses of the laptop industry. PostgreSQL has an advanced implementation of SQL and is very close to the SQL standard. So your know-how would be of use as it is transferable, so different SQL databases are reachable to you.It’s correct for your thought – and your career!Still want convincing that gaining knowledge of SQL is worth it? Well, in addition to developing new neural pathways in your brain, it could do wonders for your profession possibilities as it will make you a applicable candidate. Having “PostgreSQL knowledge” in your CV and on-line profile will almost clearly attract the attention of recruiters.

Redash Masterclass: Dashboards, SQL & On-Prem Deployment

Udemy Instructor

Mastering Redash – From Installation to Interactive DashboardsRedash is a powerful open-source business intelligence and data visualization platform widely used by data analysts, data engineers, and BI professionals to explore data, write queries, and build interactive dashboards. This course is a complete, hands-on guide to mastering Redash, starting from the basics and progressing all the way to real-world dashboards and capstone projects.The course begins with a strong foundation in Redash fundamentals, where you will understand what Redash is, how it works, and its core components. You will then move into a fully practical section focused on installing Redash on local and on-premises environments using Docker. Step-by-step demonstrations show you how to install Docker Desktop on Windows 10/11 and run Redash locally, closely simulating enterprise on-prem setups.Next, the course dives into Redash administration, covering essential system administration concepts and hands-on management of data source permissions—an important skill when working in real organizational environments with multiple users and teams.A major highlight of this course is connecting and querying real on-prem data sources. You will work hands-on with popular technologies such as Cassandra, Hive, and MySQL, learn how to write SQL queries in Redash, use query parameters and query snippets, and load CSV data into MySQL for creating meaningful charts.The visualization section is comprehensive and practical, covering a wide range of charts, including tables, line, bar, area, pie, scatter, boxplot, cohort, funnel, map, pivot table, Sankey, sunburst, and word cloud. You will also learn which chart to use and when, helping you create insightful and effective dashboards.Finally, you will bring everything together in the capstone project, where you build a complete Video Game Sales dashboard from scratch. By the end of this course, you will have the confidence and skills to install, administer, query, visualize, and build production-ready dashboards using Redash, making you job-ready for real-world data analytics and BI roles.

Artificial Intelligence and Generative AI: Volume 1

Udemy Instructor

Welcome to Artificial Intelligence and Generative AI: Volume 1 —your ultimate guide to the world of Artificial Intelligence and Generative AI.As you know that in today’s fast-paced world, AI is no longer just a futuristic concept; it’s transforming industries, creating innovative solutions, and making everyday tasks smarter and more efficient. Whether you're a business professional, a marketer, a HR expert, or just someone curious about AI, this course will help you unlock the full potential of AI—without needing to be a coding expert!What you'll learn:In this course, we’ll cover the following topics:Understanding the foundations of AI: Get familiar with the key concepts of AI, machine learning, and generative AI.Dive deep into ChatGPT: Learn how to use ChatGPT for automating conversations, enhancing customer service, and improving business operations.Master Machine Learning: Understand the basics of supervised, unsupervised, and reinforcement learning and how these can be applied in real-world situations.Explore Natural Language Processing (NLP): Learn how AI can understand and process human language, and see practical applications like chatbots and sentiment analysis.Discover AI Tools: Get hands-on with powerful AI tools that can be used for content creation, data analysis, and business automation.Real-World Applications: Understand how AI is reshaping industries such as healthcare, finance, marketing, and HR. Learn through real-world case studies and applications.Practical Projects: Work on practical AI projects such as building a simple chatbot using ChatGPT and automating emails or content creation.By the end of this course, you will:Have a strong grasp of AI fundamentals that will allow you to use AI tools effectively in your professional life.Understand how to integrate Generative AI (like ChatGPT) into your business processes to drive innovation and productivity.Be equipped with practical skills to automate tasks, enhance decision-making, and optimize business operations using AI.This course is perfect for professionals from all industries who want to learn how AI can be applied to improve efficiency, boost productivity, and enhance decision-making in their work. No coding experience is needed—just a willingness to explore the powerful world of AI!

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SQL for Data Analysis and Data Science in 2021

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SQL for Data Analysis and Data Science in 2021

About this course

Skills you'll gain

Available Coupons

Course Information

This course includes:

Share this course

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