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Data Science Projects 101: Build your Data Science Portfolio

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Data Science Projects 101: Build your Data Science Portfolio, available at $54.99, has an average rating of 4.7, with 16 lectures, based on 5 reviews, and has 20 subscribers.

You will learn about Students will gain practical experience by completing a series of guided data science projects from start to finish. Students will create a portfolio showcasing their acquired skills and demonstrating their abilities in real world projects. Students will enhance their portfolios by including high-demand domain projects such as computer vision, natural language processing and time series analysis. Participants will stay updated with the latest trends and advancements in the field of data science by exploring relevant industry case studies. Students will receive personalized guidance and feedback on their projects to further refine their skills and career trajectory. This course is ideal for individuals who are Students and recent graduates looking to build a portfolio for data science roles. or Professionals considering a career transition into data science. or Self-learners and hobbyists passionate about exploring data science concepts. or Those seeking hands-on experience in machine learning and data science. or Beginners wanting to understand fundamental data science concepts in a practical way. It is particularly useful for Students and recent graduates looking to build a portfolio for data science roles. or Professionals considering a career transition into data science. or Self-learners and hobbyists passionate about exploring data science concepts. or Those seeking hands-on experience in machine learning and data science. or Beginners wanting to understand fundamental data science concepts in a practical way.

Enroll now: Data Science Projects 101: Build your Data Science Portfolio

Summary

Title: Data Science Projects 101: Build your Data Science Portfolio

Price: $54.99

Average Rating: 4.7

Number of Lectures: 16

Number of Published Lectures: 16

Number of Curriculum Items: 16

Number of Published Curriculum Objects: 16

Original Price: ₹1,499

Quality Status: approved

Status: Live

What You Will Learn

  • Students will gain practical experience by completing a series of guided data science projects from start to finish.
  • Students will create a portfolio showcasing their acquired skills and demonstrating their abilities in real world projects.
  • Students will enhance their portfolios by including high-demand domain projects such as computer vision, natural language processing and time series analysis.
  • Participants will stay updated with the latest trends and advancements in the field of data science by exploring relevant industry case studies.
  • Students will receive personalized guidance and feedback on their projects to further refine their skills and career trajectory.

Who Should Attend

  • Students and recent graduates looking to build a portfolio for data science roles.
  • Professionals considering a career transition into data science.
  • Self-learners and hobbyists passionate about exploring data science concepts.
  • Those seeking hands-on experience in machine learning and data science.
  • Beginners wanting to understand fundamental data science concepts in a practical way.

Target Audiences

  • Students and recent graduates looking to build a portfolio for data science roles.
  • Professionals considering a career transition into data science.
  • Self-learners and hobbyists passionate about exploring data science concepts.
  • Those seeking hands-on experience in machine learning and data science.
  • Beginners wanting to understand fundamental data science concepts in a practical way.

Welcome to the Data Science Portfolio Builder course! This course is tailored for beginners who are eager to delve into the field of data science and build a solid portfolio of projects. This course covers everything that you need in order to prepare for your next interview. It consists of an end-to-end description of multiple Data Science projects, starting from explaining business aspects of running a Data Science solution, basic concepts of Data Science algorithms all the way up to training the model.

Throughout the course, you will explore essential domains of data science, including time series analysis, natural language processing (NLP), computer vision, and graph neural networks (GNN). Each module is designed to provide you with a foundational understanding of these areas, progressing from basic concepts to practical applications.

These are in-demand skills, something what the recruiters are looking for. By adding these projects, you would make your portfolio very versatile. I have included sensible projects in this course in terms of practicality, and not something which you might see on the internet, like a “Stock Price Predicting application”. These projects are relevant in the industry and recruiters are looking to hire people who have a knowledge of them.

By completing these projects, you will not only gain valuable experience but also build a portfolio that showcases your proficiency in data science to potential employers, even if your interview is next week!

Whether you’re a student, a career changer, or simply interested in expanding your skill set, this course will equip you with the necessary tools and knowledge to succeed in the dynamic field of data science.

Enroll now and take the first step towards building your data science portfolio!

Course Curriculum

Chapter 1: Introduction

Lecture 1: The Data Science Projects 101 Course for Beginners: Introduction

Lecture 2: What to expect from this course: Course Curriculum

Chapter 2: Time Series Analysis and Forecasting: Project 1

Lecture 1: Why to forecast anything in the first place: Section introduction

Lecture 2: Coding Time Series Analysis and Forecasting Project: Part-1

Lecture 3: Coding Time Series Analysis and Forecasting Project: Part-2

Chapter 3: Natural Language Processing: Project 2

Lecture 1: What is the hype about Natural Language Processing: Section introduction

Lecture 2: Coding Natural Language Processing Project: Part-1

Lecture 3: Coding Natural Language Processing Project: Part-2

Chapter 4: Graph Neural Networks: Project 3

Lecture 1: Graphs? What are they? Why are we doing this: Section Introduction

Lecture 2: Coding Graph Neural Network Project: Part-1

Lecture 3: Coding Graph Neural Network Project: Part-2

Chapter 5: Computer Vision: Project 4

Lecture 1: Can computers really see the world? Introduction to Computer Vision!

Lecture 2: Coding Computer Vision Project: Part-1

Lecture 3: Coding Computer Vision Project: Part-2

Chapter 6: You Have Done It! What are the next steps: Course completion

Lecture 1: Course Outro: See Ya!

Lecture 2: FAQs

Instructors

  • The3rd AI
    The3rd AI
    Your All-in-One Online AI Instructor

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  • 3 stars: 1 votes
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  • 5 stars: 4 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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