Creating Dashboards Using Python Streamlit (feat. Preparing for Big Data Analytics Engineer Practical Exam)
This introductory course, designed to be the easiest and most practical for Python beginners, covers intuitive dashboards using Streamlit, Google Cloud Platform for deployment, and more. Additionally, you can also prepare for the 빅데이터 분석기사 practical exam.
132 learners
Level Beginner
Course period 12 months
Reviews from Early Learners
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What you will gain after the course
Python Machine Learning
Python data analysis
Python web crawling
Python dashboard
Big Data Analysis Engineer
Lecture Topics and Objectives 💎
1. Learn the basic Python grammar required for data science.
2. Learn the basic syntax of Streamlit, an open source dashboard.
3. Build a foundation of machine learning and learn about time series.
4. Learn Google Cloud Platform for deployment.
You can prepare for the Big Data Analyst practical exam together.
I highly recommend this course to these people! 🔑
I'm new to data analysis . Where and how should I start?
I'm a true liberal arts student and I want to learn data science. Is this possible?
I want to create a data analysis portfolio , but where do I start?
I'm just getting started with data analysis. Beginner
Non-majors who are hesitant about where to start and what to do
Job seekers looking to transition into data analysis
This lecture is about project with Streamlit
It's all done in one go with Python !
This textbook covers a comprehensive approach to implementing various data visualization projects using Streamlit, an open-source Python library . You'll discover a variety of dashboards and examples, covering Python, Pandas, web crawling, Scikit-Learn, Streamlit, and more.
This textbook will serve as a quality guide for anyone aspiring to become a data analyst.
*Purchase of textbooks is not required.
👉 Textbook Purchase Link - https://bookk.co.kr/bookStore/67930908f3250118b233df2d (Revised 2nd Edition)
What you'll learn in this course 📚
Based on the basic Python grammar, you will learn the following six items.
First, the main data science libraries
pandas, matplotlib, seaborn, scikit-learn, prophet, lightGBM
Second, Introduction to Geospatial Analysis
Analytics that use data associated with a specific location or geographic area
Third, crawling public data APIs
Using Python, data from the public data portal is stored in a data frame and analyzed through visualization.
Fourth, the Streamlit dashboard
Create simple yet accurate data dashboards with Python Streamlit.
Fifth, GitHub, Git, and GitHub Actions
Installing, integrating, and using GitHub
Sixth, Google Compute Engine and Google BigQuery
Introducing the structure of this lecture 💻
This course contains various examples using Python Streamlit!
Become a data analyst by sticking to the basic concepts step by step and completing various practical tasks !
In addition to the lectures listed, additional lectures will be uploaded soon. Please look forward to it ! 🥨
Only in Inflearn lectures ✨
Don't miss out on the benefits offered.
Please check before taking the class!!
This lecture is available for free on YouTube !
This lecture is from darkgreenchloeJJ
All of them are available for free.
Key Differences from YouTube Video Lectures ✅
While YouTube videos are intended for readers who have purchased the book , the biggest difference is that they don't allow for Q&A from viewers. It's difficult to respond to every single question from readers who haven't actually purchased the book.
So, the differences are:
The biggest difference is that it can provide Q&A through the Inflearn environment .
The source code and lecture materials for the lecture slides and other bonus lectures not included in the book are not available on YouTube.
In fact, some of the tutorials in this lecture (such as Selenium) are not included in the textbook.
💡 Lecture materials and source code
While YouTube videos are free to view, lecture materials and source code are not provided. Therefore, if you need source code or lecture slides, I strongly recommend taking the course .
💡 Friendly and thorough Q&A
We don't operate comments on YouTube videos. We receive many questions, but it's difficult to answer them all. If you have any questions during this lecture, please ask and we'll do our best to answer them .
A lecture that will continue to develop in the future
If you are currently hesitating to purchase the course, please read this.
Updated for the second edition (Python classes, new Streamlit features, Cursor AI usage)
Currently, the number of lectures is small at around 200, but this number is expected to continue to increase in the future.
The Google Cloud and Github Actions courses are scheduled to be filmed and completed by March 31, 2024. (Completed)
In addition to Python-related lectures, we will continue to update this site with various lectures essential for employment. Think of them as bonus lectures . We will continue to update the content with a variety of content, not just those contained in the book. We plan to continuously update employment-related content based on student needs.
Example: How to Create a GitHub Portfolio and PPT Portfolio
Example: Big Data Analyst Practical Exam Scheduled to be Filmed Before May 31, 2024
If you like the sample lecture, please purchase it now.
Job seekers!
🙇♀ Just like when the book came out, this lecture is for job seekers .
If you have any questions about your career path or portfolio, please feel free to contact us at any time .
In the long term, we will also upload lectures that can support job seekers through various methods such as project portfolios and blogs.
Please check before taking the class!
Programming experience is not necessary because you will learn from the basic grammar.
I hope you will make sure to set aside time to study consistently with this course so that we can grow together.
For better lectures 🍒
🦋 To make the lecture better, please leave a review after taking the lecture and I will reflect it as much as possible and upload the video!
🐣 If you tell me what you need additionally, such as 'Evan, please upload other examples', I will reflect it and upload it!
Recommended for
these people
Who is this course right for?
A person new to coding
Aspiring job portfolio creator
Big Data Analyst Engineer Practical Exam Prep
Hello
This is Evan
132
Learners
14
Reviews
18
Answers
4.4
Rating
1
Course
Hello,
I am Evan, currently pursuing a doctoral degree at Kookmin University's Graduate School of Business IT. I make a living by providing lectures to sincerely help job seekers find employment, as well as conducting analysis-related training for professionals in R, Python, SQL, Excel, and Tableau. It has been three full years now since I began with short-term lectures at the Ministry of National Defense, Army Headquarters, and Hana Financial Group, and I have since conducted lectures at various institutions such as the Korea IT Business Association, Korea Management Association, Korea Software Technology Association, and Sahmyook University. Since 2023, in addition to these organizations, I have also been leading long-term training programs for job seekers at Multicampus.
Curriculum
All
243 lectures ∙ (34hr 20min)
Course Materials: