My Datacamp Course Journal in 2024
datacamp coursera 2024
Hellooo I’m back with my journal to keep track on online courses and studies after I took a break since Nov, that’s 2 months hiatus haha! Plus, I have an aspiration this year to not only take an online course, but also reading a textbook as well. Here IIII go!
Btw, since I received a scholarship to study Google certificate track for free on coursera last year (Click), so I took many courses in a short span of time. This year, I will give myself some slack thus I wouldn’t have too much pressure LOL
āļŠāļēāļĢāļāļąāļ
Datacamp
[2 Feb 2024] Course 1-2 â Understanding Cloud Computing, Introduction to GCP
An introduction course to the cloud computing world. What are the major cloud service providers out there in the market? Which job position related to the cloud domain? What exactly is IaaS, Paas, SaaS. There are sequel courses which are Introduction to GCP, AWS, Azure for those who wanna delve more into each providers architecture.
[14 Feb 2024] Course 3 â Introduction to Data Warehouse
Hey! this is a good introduction course to cover the basic of Data Warehouse concept
The outline covers
ETL vs ELT
Top-down (Inmon)/Bottom-up (Kimball)
On-premise vs Cloud
Star vs Snowflake schemas
[17 Feb 2024] Course 4 â Communicating Data Insights
The course introduced why communication using data matters. Distil the raw data into an insight and display them in a visual to a specific audience group in order to resolve business problem. It includes what audience needs to know, which visual type fits for each data.(very brief overview) What do you need to construct in the storytelling i.e. Narrative – Data – Visual
[19 Feb 2024] Course 5 â Data Storytelling Concepts
The extension course of Communicating Data Insights. Now, it dag deeper in Storytelling section. What your visual can be improved. How many data should include in a single page (50-60%: Data Density theory)
Storytelling framework: Freytag’s Pyramid
Type of insight i.e. Strategic, Operational insight
Type of reasoning: Inductive (From observations to form a theory), Deductive reasoning (Test on existing theory, requiring facts)
[19 Feb 2024] Course 6 â Introduction to Power BI
Since I’m kinda experienced in Tableau, probably a high time to have a hands-on Power BI as well. This introduction covers why we need to use Power BI. The course covers the surface of the interface and its features.
[23 Feb 2024] Course 7 â Introduction to DAX in Power BI
DAX is the formula component of Power BI. Its syntax and logic are way different than Tableau calculation syntax (and more similar to Excel) The course gave me a glimpse of DAX e.g. CALCULATE,SUM,AVERAGEX,FILTER
The difference between new column & measures
Still, There are further course to dive deeper in DAX fields.
[29 Feb 2024] Course 8 â Understanding Modern Data Architecture
This course was so TOUGH. Not my thing at allðð It explains the terms such as Data Mesh, Data Fabric, Virtual Private Cloud… so many things all at once. Perhaps, I never get a glimpse of this concept before. It’s super new for me. I probably get it more once I’m familiar to this concept… but until then..hard pass for me.
[24 Mar 2024] Course 9 â Data Visualization in Power BI
The course that walked you through some of the visualization e.g. Clustered bar chart, Tornado Chart, KPI Chart. How to configure the chart format and applying DAX to the chart. With a little bit of dashboard theory. If there is too much visualization interpretation on a dashboard (cognitive load), don’t add it.
[11 Apr 2024] Course 10 â Data Preparation in Power BI
This one taught me how to do the data transformation in the Data Transform menu.
It can do multiple things such as replace the value, fill null value up,down, convert letter case, remove the duplication
Use the Column Distribution, Data Profile, Data Quality features.
[22 Apr 2024] Course 11 â Data Modeling in Power BI
It walked you through the basics of Database schemas e.g. what is Star, Snowflake, Their Pros & Cons and the difference. What’s Facts and Dimensions table which is apparently useful when using Power Bi since Power BI has Data Model View pane, in which, we can design the relationship across the table directly within its tool.
[10 May 2024] Course 12 â Case Study: Analyzing Customer Churn in Power BI
A workshop project to help you polishing the Power BI skills you learned in earlier courses .e.g how to write DAX code (I wasn’t so familiar with them yet, so I use Gemini+Stackoverflow on that part), filter compoenent to see the desired exact number. The course designed by examplify with one dataset that we had to analyze – digging the insight – put them into a dashboard in order to communicate with the stakeholder thereafter.
[27 May 2024] Course 13 â Introduction to Google Sheets
First course of a Google Sheets Fundamentals track. It’s apparently a short course as it teaches you to distinguish between the terms of Cells, Formalas, Reference
[28 May 2024] Course 14 â Data Analysis in Google Sheets
This one teaches how to use statistics formulas such as COUNT,AVERAGE,ROUNG. Cleaning the text formula of extract date,month from the cell, logical formula i.e. IF and using VLOOKUP
[10 Jun 2024] Course 15 â Intermediate Google Sheets
More in-depth course of the formula by understanding the idea of data type in google sheet and how to convert them. how to deal with missing/blank data and formatting the data. Explored further on conditional formulas such as IFS, SWITCH
[27 Dec 2024] Course 16 â Pivot Tables in Google Sheets
A quick course on Pivot Tables, what is Pivot Table, how to create them, the difference between Row, Column, Value, Filter. If we find any errors how to solve them (using COUNTA to find the blank cell)
Related blog posts
Most of my blogs are in Thai but there is an Google Translate option inside the blog:
â My Datacamp Course Journal in 2023 | 2022
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datacamp coursera 2024