Full Stack Data Science Developer Course from scratch from Udemy

Become a proficient Full Stack Data Science Developer with the "Full Stack Data Science Developer Course from Scratch" using CSS, Python, and Microsoft SQL. This course is designed to take you from a beginner to a full-fledged data science developer, teaching you how to build complete data-driven applications from scratch.

You’ll start by mastering Python, the core language of data science. Learn how to use Python libraries Gain hands-on experience in implementing python algorithms using coding skills to build predictive models that can solve real-world data problems.

Next, you’ll explore Microsoft SQL Server, learning how to design and manage relational databases, perform complex queries, and optimize data storage. You’ll gain a solid understanding of T-SQL for working with large datasets and databases with SQL to fetch, manipulate, and analyze data seamlessly.

For front-end development, you'll master CSS to style your web applications and create responsive, user-friendly interfaces. Learn how to integrate CSS with HTML to design aesthetically pleasing data dashboards and applications that present your insights clearly.

The course emphasizes hands-on projects where you will build full-stack data applications, including interactive dashboards and data-driven websites that interact with databases and display real-time insights. By the end of the course, you'll have the skills to build complete data science solutions, from data extraction to presentation, ready for deployment in the real world.

Enroll today and become a Full Stack Data Science Developer using CSS, Python, and Microsoft SQL.

What's inside

Learning objectives

Learn to write python coding for data science applications
Get a job as a junior web developer
Create your own stunning, layouts for awesome websites
Preparing python coding for data science projects and libraries
Master client-end design using css, back-end development python coding with microsoft sql

Apply css, python for data science and microsoft sql database queries on real-world tasks
Create fully function web apps using python, css and microsoft sql
Write master code on machine learning and analytical programs
Learn what is generative ai for future learning
Participate in coding exercise to test your learning skills

Learn to write python coding for data science applications
Get a job as a junior web developer
Create your own stunning, layouts for awesome websites
Preparing python coding for data science projects and libraries
Master client-end design using css, back-end development python coding with microsoft sql
Apply css, python for data science and microsoft sql database queries on real-world tasks
Create fully function web apps using python, css and microsoft sql
Write master code on machine learning and analytical programs
Learn what is generative ai for future learning
Participate in coding exercise to test your learning skills

Syllabus

course will starts from introduction

Introduction

How to ask great questions

Introduction CSS

you will learn file extension 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

Emphasizes hands-on projects, allowing learners to build full-stack data applications, including interactive dashboards and data-driven websites, which is essential for portfolio development

Covers CSS, Python, and Microsoft SQL, providing a comprehensive toolkit for building data-driven applications from front-end design to back-end data management

Includes instruction on Generative AI, which is a rapidly growing field with applications in data science and software development

Teaches Microsoft SQL Server, which is widely used for designing, managing, and querying relational databases, a core skill for data management and analysis

Uses Sublime Text as the code editor, which may require learners to acquire a license for continued use beyond the evaluation period

Includes Python installation instructions, which may become outdated as newer versions of Python are released, potentially causing compatibility issues

Reviews summary

Broad intro to full stack data science

According to learners, this course attempts to provide a broad introduction to becoming a Full Stack Data Science Developer. Students say the initial sections on Python and CSS basics are clear and beginner friendly. The hands-on projects are noted as helpful for practicing skills. However, feedback indicates the course's broad scope means it doesn't dive deep into any single area like machine learning or SQL optimization. A common point is that the integration between the different technologies (CSS, Python, SQL) could be stronger, leaving some learners unsure how to truly build cohesive full-stack data applications. Overall, it serves as a starting point but may require supplemental learning.

Good intro for absolute beginners.

"Starts really simple, which is good if you know nothing about coding or CSS."

"The initial sections on Python and CSS basics were very clear."

"I appreciated the step-by-step setup guides."

Hands-on projects are helpful.

"The projects helped me see how the different parts could potentially fit together."

"Building the final application tied some concepts together."

"I liked having coding exercises to practice."

Covers many topics, lacks depth.

"It covers Python, CSS, and SQL, which is a lot for one course."

"While it touches on data science, it doesn't go deep into specific algorithms."

"I felt like I got a basic intro to many things but didn't master any one area."

Connecting topics could be better.

"It felt like three different courses (CSS, Python, SQL) mashed together."

"I struggled to see how the front-end CSS connected meaningfully with the data science parts."

"More examples showing Python, SQL, and CSS working together would be great."

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 Full Stack Data Science Developer Course from scratch with these activities:

Review Python Basics

Show steps

Reinforce your understanding of Python fundamentals, including variables, data types, and operators, to prepare for the data science aspects of the course.

Browse courses on Python Basics

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Read through introductory Python tutorials and documentation.
Complete basic Python exercises on platforms like Codecademy or Khan Academy.
Write simple Python scripts to practice using variables, data types, and operators.

Brush Up on SQL Fundamentals

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Review SQL basics, including creating tables, inserting data, and writing simple queries, to prepare for the Microsoft SQL Server portion of the course.

Show steps

Review SQL syntax and basic commands.
Practice writing SQL queries on a sample database.
Familiarize yourself with database concepts like tables, keys, and relationships.

Review 'Python Data Science Handbook'

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Use this book as a reference to deepen your understanding of Python data science libraries and techniques.

View Python Data Science Handbook: Essential Tools... on Amazon

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Read the chapters on NumPy and Pandas to reinforce data manipulation skills.
Study the Matplotlib chapter to improve data visualization techniques.
Review the Scikit-learn chapter to understand machine learning concepts.

Four other activities

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Show all seven activities

SQL Query Practice

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Practice writing SQL queries to reinforce your understanding of database manipulation and data retrieval.

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Set up a local SQL Server database with sample data.
Write queries to filter, sort, and aggregate data.
Practice using joins to combine data from multiple tables.

Create a Simple Data Dashboard with CSS

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Apply your CSS skills to create a visually appealing data dashboard, reinforcing your understanding of front-end development.

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Choose a dataset to visualize.
Design the layout of your dashboard using HTML and CSS.
Implement CSS styles to create a visually appealing and responsive design.

Build a Data-Driven Web Application

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Integrate Python, SQL, and CSS to build a complete data-driven web application, solidifying your full-stack data science skills.

Show steps

Design the database schema using Microsoft SQL Server.
Write Python code to interact with the database and retrieve data.
Create a front-end interface using HTML and CSS to display the data.
Deploy your application to a web server.

Review 'CSS: The Definitive Guide'

Show steps

Use this book as a reference to deepen your understanding of CSS and improve your front-end development skills.

View CSS: The Definitive Guide: Web Layout and... on Amazon

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Read the chapters on CSS selectors and the box model.
Study the layout techniques, including flexbox and grid.
Review the responsive design principles and media queries.

Career center

Learners who complete Full Stack Data Science Developer Course from scratch will develop knowledge and skills that may be useful to these careers:

Full-Stack Developer

A full stack developer works on both the front-end and back-end of web applications. The "Full Stack Data Science Developer Course from Scratch" is designed to equip you with the skills needed for this role. The course covers front-end development with CSS, back-end development with Python, and database management with Microsoft SQL, all of which are required to become a full stack developer. You will learn how to build complete data-driven applications from scratch, including interactive dashboards and data-driven websites. This course may help prepare you for the real world.

See salaries and explore the career path for Full-Stack Developer

Python Developer

A Python developer writes code using the Python programming language. The "Full Stack Data Science Developer Course from Scratch" features Python as a core component, teaching you how to use Python and its libraries, and to gain hands-on experience in coding. You may be able to implement coding skills to build predictive models that can solve real-world data problems. The course emphasizes hands-on projects where you build full-stack data applications, including dashboards and data-driven websites that interact with databases. Becoming a Python developer starts here.

See salaries and explore the career path for Python Developer

SQL Developer

The SQL developer designs, develops, and maintains SQL databases. The "Full Stack Data Science Developer Course from Scratch" directly addresses this role by providing in-depth training in Microsoft SQL Server. You will learn how to design and manage relational databases, perform complex queries, and optimize data storage. The course may give you a solid understanding of T-SQL for working with large datasets. A SQL developer leverages SQL, and this course provides a strong base.

See salaries and explore the career path for SQL Developer

Web Developer

A web developer designs, builds, and maintains websites. The "Full Stack Data Science Developer Course from Scratch" helps prepare you for this role by covering front-end development with CSS and back-end development with Python and Microsoft SQL. You will learn how to create responsive, user-friendly interfaces and how to integrate CSS with HTML to design visually appealing websites. The course emphasizes hands-on projects, which allows you to build full-stack web applications, readying you for real-world deployment as a web developer.

See salaries and explore the career path for Web Developer

Data Visualization Specialist

A data visualization specialist creates visual representations of data to help people understand complex information. The "Full Stack Data Science Developer Course from Scratch" helps by teaching CSS for styling web applications and creating responsive, user-friendly interfaces. You learn how to integrate CSS with HTML to design data dashboards that present insights clearly. The course's emphasis on hands-on projects may allow you to build interactive dashboards and data-driven websites, which are all very useful for a data visualization specialist.

See salaries and explore the career path for Data Visualization Specialist

CSS Developer

A CSS developer specializes in styling web applications using CSS. The "Full Stack Data Science Developer Course from Scratch" helps you master CSS to style your web applications and create responsive, user-friendly interfaces. You will learn CSS from the ground up. The course emphasizes hands-on projects, where you will build full-stack data applications, including interactive dashboards and data-driven websites, which rely on CSS. Therefore, CSS developer may be a great fit after taking this course.

See salaries and explore the career path for CSS Developer

Data Analyst

A data analyst examines data to draw conclusions about it. This role requires the ability to identify trends and develop visual aids, which this course can help with. By teaching both Python and Microsoft SQL, the "Full Stack Data Science Developer Course from Scratch" helps you learn how to extract, manipulate, and analyze data. The course's emphasis on creating data dashboards using CSS can help you to present insights clearly to various stakeholders. A data analyst benefits from mastering client-end design and back-end development.

See salaries and explore the career path for Data Analyst

Front-End Developer

A front end developer focuses on the user-facing part of a website. The "Full Stack Data Science Developer Course from Scratch" helps equip you with the skills needed for this role by teaching CSS for styling web applications and creating responsive, user-friendly interfaces. You will learn how to integrate CSS with HTML to design aesthetically pleasing data dashboards and applications. The course emphasizes hands-on projects, allowing you to build interactive dashboards and data-driven websites, which are useful for a front end developer.

See salaries and explore the career path for Front-End Developer

Database Administrator

The database administrator is responsible for ensuring the performance, integrity, and security of a database. The "Full Stack Data Science Developer Course from Scratch" helps build a foundation in database management using Microsoft SQL Server. The course allows you to gain experience in designing relational databases and optimizing data storage. Further, it can help equip you with the skills to perform complex queries and work with large datasets, which are essential for a database administrator. By mastering these skills, you may be ready for this career.

See salaries and explore the career path for Database Administrator

Back-End Developer

A back end developer works on the server-side logic and databases of a web application. The "Full Stack Data Science Developer Course from Scratch" helps prepare you for this role, since it covers Python and Microsoft SQL. You'll learn how to design and manage relational databases, perform complex queries, and optimize data storage. This course may enable you to gain a solid understanding of T-SQL for working with large datasets and databases. A back end developer works with information, and this course provides some background.

See salaries and explore the career path for Back-End Developer

Business Intelligence Analyst

The business intelligence analyst focuses on using data to improve a company's business operations. This role often involves creating reports and dashboards to track key performance indicators. The "Full Stack Data Science Developer Course from Scratch" helps you build a foundation in the skills needed for this, including database management with Microsoft SQL and front-end design with CSS for building visually appealing dashboards. In particular, the course's coverage of SQL queries is invaluable for extracting and manipulating data for analysis. This course may help you to understand how to present data insights effectively.

See salaries and explore the career path for Business Intelligence Analyst

Data Engineer

A data engineer is responsible for building and maintaining the infrastructure that allows for data analysis and reporting. The "Full Stack Data Science Developer Course from Scratch" may be useful, since it offers a solid grounding in Python, which is frequently used for data pipeline development. Also, the course’s coverage of Microsoft SQL Server is relevant for designing and managing databases. Learning how to work with large datasets and optimize data storage as part of this course can help equip you with the skills needed to build and manage data infrastructure. Therefore, a data engineer may be a good fit after taking this course.

See salaries and explore the career path for Data Engineer

Machine Learning Engineer

A machine learning engineer develops and deploys machine learning models. While this role typically requires an advanced degree, the "Full Stack Data Science Developer Course from Scratch" helps build a foundation in Python, which is the core language of data science and machine learning. You will learn how to use Python libraries and gain hands-on experience in implementing machine learning algorithms. The course emphasizing coding skills to build predictive models and real-world applications may be helpful, too. As a machine learning engineer, you will benefit from this course.

See salaries and explore the career path for Machine Learning Engineer

Data Science Consultant

The data science consultant helps organizations leverage their data to make better decisions. While this role often benefits from an advanced degree, the "Full Stack Data Science Developer Course from Scratch" helps equip you with a broad skillset for this role. The course covers Python, Microsoft SQL, and CSS, which are useful for extracting, managing, analyzing, and presenting data. The course may allow you to gain experience in building full-stack data applications, including interactive dashboards and data-driven websites, which are useful for the data science consultant.

See salaries and explore the career path for Data Science Consultant

Generative AI Developer

A Generative AI developer focuses on leveraging Generative AI and building or training AI models. The "Full Stack Data Science Developer Course from Scratch" covers Python, which is a crucial language in AI. The syllabus delves into Generative AI, so you will be able to use this course to learn the basics. The course emphasizes hands-on projects, which may allow you to build data applications and practice with dashboard design, which may then be utilized in Generative AI. A Generative AI developer is a challenging but rewarding career.

See salaries and explore the career path for Generative AI Developer

Full Stack Data Science Developer Course from scratch

What's inside

Learning objectives

Syllabus

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Reviews summary

Broad intro to full stack data science

Activities

Career center

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