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Full Stack Data Science Developer Course from scratch

Development

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Full Stack Data Science Developer Course from scratch, available at $59.99, has an average rating of 4.96, with 200 lectures, based on 52 reviews, and has 5956 subscribers.

You will learn about 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 This course is ideal for individuals who are Beginner CSS, Python coding and Microsoft SQL developers curious about data science development or Anyone who wants to generate new income streams or Anyone who wants to build websites or Anyone who wants to become financially independent or Anyone who wants to start their own business or become freelance or Anyone who wants to become a Full stack web developer It is particularly useful for Beginner CSS, Python coding and Microsoft SQL developers curious about data science development or Anyone who wants to generate new income streams or Anyone who wants to build websites or Anyone who wants to become financially independent or Anyone who wants to start their own business or become freelance or Anyone who wants to become a Full stack web developer.

Enroll now: Full Stack Data Science Developer Course from scratch

Summary

Title: Full Stack Data Science Developer Course from scratch

Price: $59.99

Average Rating: 4.96

Number of Lectures: 200

Number of Published Lectures: 200

Number of Curriculum Items: 200

Number of Published Curriculum Objects: 200

Original Price: $199.99

Quality Status: approved

Status: Live

What You Will Learn

  • 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

Who Should Attend

  • Beginner CSS, Python coding and Microsoft SQL developers curious about data science development
  • Anyone who wants to generate new income streams
  • Anyone who wants to build websites
  • Anyone who wants to become financially independent
  • Anyone who wants to start their own business or become freelance
  • Anyone who wants to become a Full stack web developer

Target Audiences

  • Beginner CSS, Python coding and Microsoft SQL developers curious about data science development
  • Anyone who wants to generate new income streams
  • Anyone who wants to build websites
  • Anyone who wants to become financially independent
  • Anyone who wants to start their own business or become freelance
  • Anyone who wants to become a Full stack web developer

In this course, we will learn the basic tools that every Web developer needs to know. We will start from scratch by learning how to implement modern web development with CSS, Python, and Microsoft SQL.

Learning to code Full Stack Data Science Developer Course from scratch is The first step to Coding you need to learn to succeed in web development, it is easy to learn and understand our online CSS, Python, and Microsoft SQL Training course is designed for you with the complete steps to require learn Complete Developer topics. Mr. Sekhar Metla [MCP – Microsoft Certified Professional] will explain to you even complex topics to simplify and teach you that even beginners can easily understand with real-time examples.

learn what is Generative AI for future learning

This Development course is without a doubt the most comprehensive web development course available online. Even if you have zero programming experience, this course will take you from beginner to mastery. Here’s why:

The course is taught by the lead instructor having 20+ years of professional experience.

Become a Full-Stack Web Developer with just ONE course.Web Design and Development Complete Course with CSS, Python Programming, and Microsoft SQL Database

The course has been updated to be trending technology ready and you’ll be learning the latest tools and technologies used at large companies such as Apple, Facebook, Google, and Netflix.

What is Python:

Python is a high-level, interpreted, general-purpose programming language. Its design philosophy emphasizes code readability with the use of significant indentation. Python is dynamically-typed and garbage-collected.

The curriculum was developed over four years, with comprehensive student testing and feedback on who is working and applying these coding examples.

We’ve taught many students how to code and many have gone on to change their lives by becoming professional developers or starting their tech startups.

We’ll take you step-by-step through engaging video tutorials and teach you everything you need to know to succeed as a web developer.

The course includes HD video tutorials and builds your programming knowledge while making real-world websites and web apps.

Learn from real-world experts

Throughout this comprehensive course, we cover a massive amount of tools and technologies, including:

CSS3

Front-End Web Development

Client-side style

Font styles

Box model

Animations

Forms

Shadows

Calculation

and more.

Python [Programming for Data Science]

Variables

Data types

Statements

Control flow statements

Code Development

Sequences

Sets

Tuples

Lists

Dictionaries

KW arguments

Web Design

Functions

Object-oriented programming [OOPs]

Classes, Objects

Methods

Inheritance

Polymorphism

Abstraction

Access Modifiers

Encapsulation

Error Handling

and more.

Microsoft SQL

SQL installation

Database

Tables

SQL functions

SQL statements

SQL operators

SQL joins

SQL advanced

Timestamps

filtering data

analyzing data

grouping data

Reports

and more.

By the end of this course, you will be fluent in programming and ready to make any website you can dream of.

Sign up today, and look forward to:

  • HD Video Lectures

  • Code Challenges and Coding Exercises

  • Beautiful Real-World dynamic Projects

ABOUT YOUR INSTRUCTOR

Sekhar Metlais a software engineer with 20 years of professional experience. He is the author of several online-selling courses with more than 50,000+ students in many countries. He has a Master of Science in Computer Applications in Software Engineering. His students describe him as passionate, pragmatic, and motivational in his teaching.

What are you waiting join now to start learning how to make your Data Science DeveloperCareer TODAY 🙂

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: How to ask great questions

Lecture 3: Introduction CSS

Lecture 4: Choosing Code Editor

Lecture 5: Installing Code Editor (Sublime Text)

Lecture 6: CSS Syntax

Lecture 7: Creating a first page with CSS Style

Lecture 8: What is Source code

Lecture 9: Learn What is Generative AI / Gen AI

Chapter 2: CSS Basic

Lecture 1: Inline CSS

Lecture 2: Internal CSS

Lecture 3: External CSS

Lecture 4: CSS Classes

Lecture 5: CSS IDs

Lecture 6: Colors

Lecture 7: Backgrounds

Lecture 8: Floating

Lecture 9: PosiPositioning tioning

Lecture 10: Margins

Lecture 11: Padding

Lecture 12: Borders

Chapter 3: CSS Intermediate

Lecture 1: Styling Text

Lecture 2: Aligning Text

Lecture 3: Styling Links

Lecture 4: Font Family

Lecture 5: Font Styles

Lecture 6: Applying Google Fonts

Lecture 7: Box Model

Lecture 8: Icons

Lecture 9: Tables

Lecture 10: Navigation-Menu

Lecture 11: Dropdowns

Chapter 4: CSS Advanced

Lecture 1: Advanced Selectors

Lecture 2: Forms

Lecture 3: Website Layout

Lecture 4: Rounded Corners

Lecture 5: Color Keywords

Lecture 6: Animations

Lecture 7: Pseudo Classes

Lecture 8: Gradients

Lecture 9: Shadows

Lecture 10: Calculations

Lecture 11: Creating Responsive Page

Chapter 5: CSS Expert

Lecture 1: Button Styles

Lecture 2: Pagination

Lecture 3: Multiple Columns

Lecture 4: Image Reflection

Lecture 5: UI – UX Design

Lecture 6: Social Media Icons

Lecture 7: External CSS style adding

Chapter 6: Python Introduction

Lecture 1: Introduction to Python

Lecture 2: Python vs. Other Languages

Lecture 3: Why Its Popular

Lecture 4: Command Line Basics

Lecture 5: Python Installation (Step By Step)

Lecture 6: PyCharm IDE Installation

Lecture 7: Getting Start PyCharm IDE

Lecture 8: First Python Hello World Program

Chapter 7: Python Basic

Lecture 1: Variables

Lecture 2: Data Types

Lecture 3: Type Casting

Lecture 4: User Inputs

Lecture 5: Comments

Chapter 8: Python Strings

Lecture 1: Strings

Lecture 2: String Indexing

Lecture 3: String Slicing

Lecture 4: String Built-in Functions

Lecture 5: Formatting String (Dynamic Data)

Chapter 9: Python Operators

Lecture 1: Arithmetic Operators

Lecture 2: Assignment Operators

Lecture 3: Comparison Operators

Lecture 4: Logical Operators

Lecture 5: AND Operator

Lecture 6: NOT Operator

Lecture 7: Booleans

Chapter 10: python Data Structures

Lecture 1: Arrays in Earlier

Lecture 2: Lists

Lecture 3: Add List Items

Lecture 4: Remove List Items

Lecture 5: Sort Lists

Lecture 6: Join Lists

Lecture 7: Tuples

Lecture 8: Update tuples

Lecture 9: Join tuples

Lecture 10: Dictionaries

Lecture 11: Add Dictionary Items

Lecture 12: Remove Dictionary Items

Lecture 13: Nested Dictionaries

Lecture 14: Sets

Lecture 15: Add Set Items

Instructors

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  • 4 stars: 6 votes
  • 5 stars: 46 votes

Frequently Asked Questions


How long do I have access to the course materials?


You can view and review the lecture materials indefinitely, like an on-demand channel.


Can I take my courses with me wherever I go?


Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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