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Learn Python + JavaScript + Microsoft SQL for Data science

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Based on 92 ratings
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Metla Sudha Sekhar

Unlock the power of Python, JavaScript, and Microsoft SQL for data science with the "Learn Python + JavaScript + Microsoft SQL for Data Science" course. This comprehensive course is designed for those looking to develop a strong foundation in data science and analytics by mastering key programming languages and databases that are integral to data-driven decision-making. 

You’ll begin by learning Python, one of the most powerful and popular languages for data science. Explore core Python concepts, libraries, and discover how to manipulate, analyze, and visualize data efficiently.

Read more

Unlock the power of Python, JavaScript, and Microsoft SQL for data science with the "Learn Python + JavaScript + Microsoft SQL for Data Science" course. This comprehensive course is designed for those looking to develop a strong foundation in data science and analytics by mastering key programming languages and databases that are integral to data-driven decision-making. 

You’ll begin by learning Python, one of the most powerful and popular languages for data science. Explore core Python concepts, libraries, and discover how to manipulate, analyze, and visualize data efficiently.

Next, you’ll explore JavaScript and its relevance in data science, particularly for building interactive data visualizations and integrating web-based data applications. Learn how to use JavaScript frameworks create interactive graphs and data-driven visualizations that can enhance your data analysis. 

The course also covers Microsoft SQL Server, teaching you how to query and manage databases using T-SQL, extract meaningful data with advanced SQL queries, and perform complex data operations. You’ll learn to design efficient database structures, optimize queries, and SQL databases with Python for seamless data processing. 

Throughout the course, you’ll work on hands-on projects that integrate all three technologies, preparing you to solve real-world data science problems. 

Enroll now and develop the skills you need to become a proficient data scientist using Python, JavaScript, and Microsoft SQL.

Enroll now

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What's inside

Learning objectives

  • Write python code for webapps
  • Get a job as a junior web developer
  • Create your own stunning, layouts for awesome websites
  • Applying python code on data science projects
  • Master client-end development using javascript, back-end development python and microsoft sql
  • Working with relational database of microsoft sql
  • Apply javascript, python for data science and microsoft sql database queries on real-world tasks
  • Create fully function web apps using python, mssql and javascript
  • Learn what is generative ai for future learning
  • Participate in coding exercise to test your learning skills

Syllabus

Introduction
How to ask great questions
Installing Code Editor
What is JavaScript
Read more

you will learn file extensions and source code notes

Generative artificial intelligence is artificial intelligence capable of generating text, images, videos, or other data using generative models, often in response to prompts. best ai tools are chatgpt, tabnine for developers, and more

You will learn how to learn online courses in a more productive way.

Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Covers Python, JavaScript, and Microsoft SQL, which are essential tools for data analysis, visualization, and database management, providing a comprehensive skill set for data science roles
Includes hands-on projects that integrate Python, JavaScript, and Microsoft SQL, enabling learners to apply their knowledge to solve real-world data science problems
Teaches JavaScript for client-side development and Python for back-end development, which are valuable skills for building fully functional web applications
Explores generative AI tools like ChatGPT and Tabnine, which are relevant for future learning and staying updated with advancements in the field
Includes coding exercises to test learning skills, which helps learners reinforce their understanding and identify areas for improvement
Focuses on Microsoft SQL Server, teaching learners how to query and manage databases using T-SQL, which is specific to Microsoft's database system

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Reviews summary

Python, js, sql for data science

According to learners, this course offers a broad introduction covering Python, JavaScript, and Microsoft SQL for data science applications. Many find it a good starting point, particularly if focusing on learning one technology at a time. However, some students noted the scope is very ambitious, leading to less depth in each area than desired. There are also mentions that the integration between the three technologies could be stronger, sometimes feeling like three separate courses rather than a unified path for data science. Additionally, some parts of the content may be somewhat outdated, requiring learners to seek external resources. Despite these challenges, practical exercises are often highlighted as helpful for beginners.
Hands-on exercises were useful.
"I liked the practical exercises for learning SQL querying. They were very helpful."
"The basic Python coding examples were easy to follow and practice with."
"Some of the demos made the concepts much clearer than just lectures."
"The hands-on labs, though simple, helped solidify basic understanding."
Good intro if focusing one area.
"If you just need an introduction to Python or SQL, this course is a decent start."
"The Python section was good for someone like me who had never coded before."
"I got a basic understanding of SQL queries which was helpful."
"Good if you only want a taste of each, but not for mastery."
Some modules may be old.
"Some of the libraries or methods taught seem a bit old-fashioned compared to current practices."
"I had to troubleshoot some code examples because the syntax or dependencies were outdated."
"The course could benefit from updates to reflect the latest versions and tools."
"Ran into issues with package versions mentioned in the lectures."
Topics not well connected.
"I expected to see how Python, JS, and SQL work together, but they felt disconnected."
"The projects didn't really make me feel like I was using all three in a cohesive way for data science."
"It teaches the languages separately, but not the workflow for data science across them."
"Wish there were more examples showing the integration aspect advertised in the title."
Attempts 3 technologies, depth limited.
"The course covers a lot - Python, JS, SQL. It's a bit too much for one course, honestly."
"While it introduces all three, none of them are covered in sufficient depth to feel proficient."
"Felt like a quick overview of three separate worlds, not a deep dive into one."
"Trying to learn Python, JS, and SQL for data science all at once was overwhelming; each needed more focus."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Learn Python + JavaScript + Microsoft SQL for Data science with these activities:
Review Python Fundamentals
Strengthen your understanding of Python fundamentals to prepare for data science applications.
Browse courses on Python Basics
Show steps
  • Review Python syntax and data structures.
  • Practice writing basic Python scripts.
  • Complete online Python tutorials.
Brush Up on JavaScript Basics
Revisit JavaScript fundamentals to better understand its role in data visualization.
Show steps
  • Review JavaScript syntax and data types.
  • Practice writing simple JavaScript functions.
  • Explore online JavaScript tutorials.
Review 'SQL for Data Analysis'
Deepen your understanding of SQL for data analysis.
View SQL for Data Analysis: Advanced Techniques for... on Amazon
Show steps
  • Read the book's chapters on advanced SQL techniques.
  • Practice the SQL queries and exercises provided in the book.
  • Apply the techniques to real-world datasets.
Four other activities
Expand to see all activities and additional details
Show all seven activities
SQL Query Practice
Reinforce your SQL skills through targeted practice exercises.
Show steps
  • Solve SQL problems on platforms like LeetCode or HackerRank.
  • Focus on different types of SQL queries (joins, aggregations, subqueries).
  • Analyze and optimize query performance.
Build a Simple Data Dashboard
Apply your Python, JavaScript, and SQL skills to create a data dashboard.
Show steps
  • Design the layout and functionality of the dashboard.
  • Use Python to extract data from a SQL database.
  • Use JavaScript to visualize the data in the dashboard.
  • Deploy the dashboard to a web server.
Write a Blog Post on a Data Science Topic
Solidify your understanding by explaining a data science concept using Python, JavaScript, or SQL.
Show steps
  • Choose a specific data science topic related to the course.
  • Research the topic and gather relevant information.
  • Write a clear and concise blog post explaining the concept.
  • Include code examples using Python, JavaScript, or SQL.
Contribute to a Data Science Project
Enhance your skills by contributing to an open-source data science project.
Show steps
  • Find an open-source data science project on GitHub.
  • Identify a bug or feature to work on.
  • Contribute code, documentation, or tests.
  • Submit a pull request with your changes.

Career center

Learners who complete Learn Python + JavaScript + Microsoft SQL for Data science will develop knowledge and skills that may be useful to these careers:
Data Scientist
Data Scientists analyze and interpret complex digital data. The "Learn Python + JavaScript + Microsoft SQL for Data Science" course provides a foundation for becoming a Data Scientist. With Python, you'll learn to manipulate, analyze, and visualize data efficiently. You'll also learn how to query and manage databases using SQL. JavaScript skills learned in the course will enable you to build interactive data visualizations and integrate web-based data applications. Hands-on projects throughout the course integrate these technologies, preparing you to tackle real-world data science challenges.
See salaries and explore the career path for Data Scientist
Data Analyst
A Data Analyst examines data to draw conclusions about it. Using "Learn Python + JavaScript + Microsoft SQL for Data Science" can help you become a Data Analyst. You'll learn how to query and manage databases using SQL, extract meaningful insights, and perform complex data operations. You will explore core Python concepts, libraries, and discover how to manipulate, analyze, and visualize data efficiently. You will also learn to use Javascript to create graphs and data-driven visualizations that can enhance your data analysis. The course provides hands-on projects that integrate all three technologies, so you can solve real-world data science problems.
See salaries and explore the career path for Data Analyst
Web Developer
Web Developers design and build websites. The "Learn Python + JavaScript + Microsoft SQL for Data Science" course helps you build a foundation for becoming a Web Developer. The JavaScript portion of the course provides client-side development skills. The Python section helps you with back-end development. You will also learn how to query and manage databases using SQL, which is essential for dynamic websites. Coding exercises will help you test your learning skills. The course teaches you how to create fully functional web apps using Python, SQL, and JavaScript.
See salaries and explore the career path for Web Developer
SQL Developer
SQL Developers design and implement database systems, write SQL queries, and optimize database performance. The "Learn Python + JavaScript + Microsoft SQL for Data Science" course is directly relevant for becoming an SQL Developer. You'll learn Microsoft SQL Server, how to query and manage databases using T-SQL, and how to extract meaningful data with advanced SQL queries. You'll also learn to design efficient database structures and optimize queries. Python knowledge helps integrate databases and JavaScript skills may be useful for front end debugging. This course teaches SQL knowledge needed to enhance a career as an SQL Developer.
See salaries and explore the career path for SQL Developer
Database Administrator
Database Administrators maintain and secure databases. If you want to be a Database Administrator, the "Learn Python + JavaScript + Microsoft SQL for Data Science" course can help. You'll learn Microsoft SQL Server, how to query and manage databases using T-SQL, and how to extract meaningful data with advanced SQL queries. You'll also learn to design efficient database structures and optimize queries. Python knowledge helps integrate databases and JavaScript skills may be useful for front end debugging. This course teaches the core skills and database knowledge needed to start a career as a Database Administrator.
See salaries and explore the career path for Database Administrator
Data Engineer
Data Engineers build and maintain the infrastructure that allows Data Scientists and Analysts to access and use data. The "Learn Python + JavaScript + Microsoft SQL for Data Science" course can help you become a Data Engineer. You will learn Python, one of the most powerful and popular languages for data science and how to manipulate, analyze, and process data efficiently. The course also covers Microsoft SQL Server, teaching you how to query and manage databases using T-SQL, how to extract meaningful data with advanced SQL queries, and how to perform complex data operations.
See salaries and explore the career path for Data Engineer
Full-Stack Developer
Full Stack Developers work on both the front-end and back-end of web applications. The "Learn Python + JavaScript + Microsoft SQL for Data Science" course helps you build a foundation for becoming a Full Stack Developer. The JavaScript portion covers client-side development, while Python covers server-side logic. With SQL, you'll learn how to manage databases which is essential for dynamic data-driven web applications. The course teaches you how to create fully functional web apps using Python, SQL, and JavaScript, thus preparing you for the challenges of a Full Stack Developer role.
See salaries and explore the career path for Full-Stack Developer
Business Intelligence Analyst
Business Intelligence Analysts examine data to identify trends and insights that help businesses make better decisions. This course can help you get started as a Business Intelligence Analyst. You'll learn how to query and manage databases using SQL Server as well as how to extract meaningful data with advanced SQL queries, which is essential for gathering the information needed for your analysis. You'll also learn to manipulate, analyze, and visualize data using Python. The JavaScript portion of the course teaches you how to build interactive data visualizations to enhance your reports.
See salaries and explore the career path for Business Intelligence Analyst
Market Research Analyst
Market Research Analysts study market conditions to examine potential sales of a product or service. "Learn Python + JavaScript + Microsoft SQL for Data Science" can help you become a Market Research Analyst. You'll learn how to query and manage databases using SQL, extract meaningful insights, and perform complex data operations. You will explore core Python concepts, libraries, and discover how to manipulate, analyze, and visualize data efficiently. You will also learn to use Javascript to create graphs and data-driven visualizations that can enhance your data analysis. The course provides hands-on projects that integrate all three technologies, so you can solve real-world market research problems.
See salaries and explore the career path for Market Research Analyst
Backend Developer
Backend Developers focus on the server-side logic and databases of web applications. The Learn Python + JavaScript + Microsoft SQL for Data Science course will prepare you for this work. You will explore core Python concepts which are essential for backend programming and data manipulation. The course also covers Microsoft SQL Server, teaching you how to query and manage databases using T-SQL, extract meaningful data with advanced SQL queries, and perform complex data operations. You will also learn to use Javascript, which may be useful for front end debugging. This course may be useful if you want to learn the fundamentals of backend development.
See salaries and explore the career path for Backend Developer
Front-End Developer
Front End Developers work on the client-side of web applications. The Learn Python + JavaScript + Microsoft SQL for Data Science course will prepare you to build interactive user interfaces. You will explore JavaScript basics and use JavaScript frameworks to create interactive graphs and data-driven visualizations that can enhance your data analysis and web design. The course also covers Python and SQL which may be useful for debugging. This course may be useful if you want to learn the fundamentals of backend front development.
See salaries and explore the career path for Front-End Developer
Machine Learning Engineer
Machine Learning Engineers develop and deploy machine learning models. The "Learn Python + JavaScript + Microsoft SQL for Data Science" course provides a foundation for machine learning. You'll learn data manipulation, analysis, and visualization using Python, a core language for machine learning, and you will also be exposed to Javascript which may be useful for front end debugging. The course introduces you to database management using SQL, which is important for preparing data for machine learning models. This course may be useful if you want to learn the fundamentals of data science that precede machine learning.
See salaries and explore the career path for Machine Learning Engineer
Data Visualization Specialist
Data Visualization Specialists create visual representations of data to communicate insights. If you want to be a Data Visualization Specialist, the "Learn Python + JavaScript + Microsoft SQL for Data Science" course can help. You will explore core Python concepts, libraries, and discover how to visualize data efficiently. Furthermore, you'll learn how to use JavaScript frameworks to create interactive graphs and data-driven visualizations that can enhance your reports. Given that data visualization is key to this role, this course will give you a head start. This course may be useful in understanding the intersection between Python and JavaScript.
See salaries and explore the career path for Data Visualization Specialist
Quantitative Analyst
Quantitative Analysts, often requiring an advanced degree, use mathematical and statistical methods to solve financial problems. "Learn Python + JavaScript + Microsoft SQL for Data Science" may be useful, because it teaches core programming languages for data analysis. You'll learn data manipulation, analysis, and visualization using Python. The course also covers Microsoft SQL Server, teaching you how to query and manage databases using T-SQL, extract meaningful data with advanced SQL queries, and perform complex data operations. You will also learn to use Javascript to create graphs and data-driven visualizations that can enhance your data analysis. This course may be useful if you want to see how data science can be applied to quantitative settings.
See salaries and explore the career path for Quantitative Analyst
Bioinformatician
Bioinformaticians manage and analyze biological data, often requiring an advanced degree. The "Learn Python + JavaScript + Microsoft SQL for Data Science" course may be useful for those interested in this field. You'll learn how to manipulate, analyze, and visualize data efficiently using Python, a popular language in bioinformatics. You will also learn to use Javascript to create graphs and data-driven visualizations that can enhance your data analysis. While the course does not focus on biological data specifically, it provides a strong foundation in data handling and analysis.
See salaries and explore the career path for Bioinformatician

Reading list

We've selected one books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Learn Python + JavaScript + Microsoft SQL for Data science.
Cover image
SQL for Data Analysis
Save
Provides a comprehensive guide to using SQL for data analysis. It covers advanced techniques for querying, manipulating, and transforming data. It is particularly useful for understanding how to extract meaningful insights from databases using SQL, which core skill taught in this course. This book can be used as a reference tool.
SQL for Data Analysis: Advanced Techniques for...
Paperback
$$
SQL for Data Analysis
Kindle Edition
$$

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Rating
4.5 Filled star Filled star Filled star Filled star Empty star
Effort
22.5 total hours
Via
Udemy
Instructor
Metla Sudha Sekhar
Language
English
Traffic lights
Read about what's good
what should give you pause
and possible dealbreakers
Covers Python, JavaScript, and Microsoft SQL, which are essential tools for data analysis, visualization, and database management, providing a comprehensive skill set for data science roles
Includes hands-on projects that integrate Python, JavaScript, and Microsoft SQL, enabling learners to apply their knowledge to solve real-world data science problems
Teaches JavaScript for client-side development and Python for back-end development, which are valuable skills for building fully functional web applications
Explores generative AI tools like ChatGPT and Tabnine, which are relevant for future learning and staying updated with advancements in the field
Includes coding exercises to test learning skills, which helps learners reinforce their understanding and identify areas for improvement
Focuses on Microsoft SQL Server, teaching learners how to query and manage databases using T-SQL, which is specific to Microsoft's database system
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