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Typefully
@typefully
We're launching a Command Bar today with great commands and features.
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@aaditsh
I think this thread hook could be improved.
@frankdilo
On it 🔥
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Easlo
@heyeaslo
Reply with "Notion" to get early access to my new template.
Jaga
@kandros5591
Notion 🙏
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Tweeting more with @typefully these days.
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Jurre Houtkamp@jurrehoutkamp
Typefully is fantastic and way too cheap for what you get.
We’ve tried many alternatives at @framer but nothing beats it. If you’re still tweeting from Twitter you’re wasting time.
DHH@dhh
This is my new go-to writing environment for Twitter threads.
They've built something wonderfully simple and distraction free with Typefully 😍
Santiago@svpino
For 24 months, I tried almost a dozen Twitter scheduling tools.
Then I found @typefully, and I've been using it for seven months straight.
When it comes down to the experience of scheduling and long-form content writing, Typefully is in a league of its own.
Luca Rossi ꩜@lucaronin
After trying literally all the major Twitter scheduling tools, I settled with @typefully.
Killer feature to me is the native image editor — unique and super useful 🙏
Visual Theory@visualtheory_
Really impressed by the way @typefully has simplified my Twitter writing + scheduling/publishing experience.
Beautiful user experience.
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I think this thread hook could be improved.
@frankdilo
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A simple and powerful roadmap you need to follow to become a data analyst ↓
For every project, you will be using a variety of techniques like
- Data collection
- Data manipulation
- Data cleaning
- Data visualization
This process is referred to as data wrangling.
Now let's take a look at the tools you need to learn to perform each of these techniques:
Data collection
- Online datasets
Data manipulation, Data cleaning
- SQL
- Python (Pandas, NumPy)
- Excel
Data visualization
- Tableau /Power BI,
- Python (Matplotlib, Seaborn, Plotly)
1️⃣ SQL basics:
SELECT, FROM, WHERE, GROUP BY, ORDER BY, HAVING
Manipulation - INSERT, UPDATE, DELETE, ALTER
Aggregate functions - COUNT, SUM, AVG, MIN, MAX
Joining tables - LEFT, RIGHT, INNER, FULL OUTER, SELF JOIN
- Filter data w/ subqueries
- Table views, indexes, constraints
3️⃣ Python
While most of the roles do not require Python, knowing it will set you apart and, more significantly, make your job much simpler.
Some useful Python libraries are:
Analysis - pandas, numPy
Visualization - matplotlib, plotly, seaborn
Web scraping - BeautifulSoup
Python data analysis - youtu.be/GPVsHOlRBBI
4️⃣ Excel
As a data analyst, Excel is a powerful tool that can be used to discover in-depth insights into your data and find patterns and trends.
Basics - youtu.be/TPBS-7OkSnM
Data analysis - youtu.be/3lULeXMt_zg
6️⃣ Tableau / Power BI
Both Tableau and Power BI are powerful tools for data visualization. Choose one of your choice, or familiarize yourself with both.
I use Tableau Public as its free.
For inspiration: public.tableau.com/app/discover/trending
Tableau concepts you need to know:
- Connecting data
- Dimensions, measures, calculated fields
- Filters and aggregation
- Data mapping, formatting
- Data storytelling