When you start learning Statistics you may feel there are a million things to memorize.
You're wrong.
What you need is 5-6 basic concepts. Everything else is built around them.
Here are 5+1 Statistical principles to begin with:
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You're wrong.
What you need is 5-6 basic concepts. Everything else is built around them.
Here are 5+1 Statistical principles to begin with:
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You will never stop learning if you enjoy the journey.
I partnered with @brilliantorg for this reason. They introduced the joy of studying Data Science.
The best part?
They cover all these topics in their intuitive lessons.
Check the link in the last tweet and start learning!
I partnered with @brilliantorg for this reason. They introduced the joy of studying Data Science.
The best part?
They cover all these topics in their intuitive lessons.
Check the link in the last tweet and start learning!
1. Central tendency
Mean, mode, and median are measures that offer quick insights into the 'center' of the data.
It helps to see what a "normal" data point looks like in a group.
We hear about these measures a lot, so it's good to know them well.
Mean, mode, and median are measures that offer quick insights into the 'center' of the data.
It helps to see what a "normal" data point looks like in a group.
We hear about these measures a lot, so it's good to know them well.
2. Data visualization
Visuals are not just fancy but they are super useful.
They make the complex understandable.
Basic tools like histograms, bar graphs, and scatter plots help with interpretation and communication of data.
Visuals are not just fancy but they are super useful.
They make the complex understandable.
Basic tools like histograms, bar graphs, and scatter plots help with interpretation and communication of data.
3. Sampling techniques
Without good samples, there is no analysis. They are crucial for accurate and reliable results.
If you work with data knowing your source is key.
Without good samples, there is no analysis. They are crucial for accurate and reliable results.
If you work with data knowing your source is key.
4. Correlation
In Statistics, we want to answer the why.
Correlation helps with that.
With a good association analysis, you can find relationships, and patterns, and make accurate predictions.
In Statistics, we want to answer the why.
Correlation helps with that.
With a good association analysis, you can find relationships, and patterns, and make accurate predictions.
5. Distributions
Those beautiful bell curves tell you more than you would think.
Many advanced techniques rely on assumptions related to distribution.
At this point, you will touch probability as well. Another fun topic to explore!
Those beautiful bell curves tell you more than you would think.
Many advanced techniques rely on assumptions related to distribution.
At this point, you will touch probability as well. Another fun topic to explore!
+1 Biases & Tricks (My favorite)
Statistics is a weapon.
You can use it to tell lies while you sound smart.
That's dangerous, so we must understand biases to evaluate information critically.
Statistics is a weapon.
You can use it to tell lies while you sound smart.
That's dangerous, so we must understand biases to evaluate information critically.
You can learn about all these principles on @brilliantorg
They provide interactive lessons in topics like Probability, Statistics, Data Analysis, and many more!
Try for free for 30 days & get 20% off Brilliant's annual subscription by using this link:
brilliant.org
They provide interactive lessons in topics like Probability, Statistics, Data Analysis, and many more!
Try for free for 30 days & get 20% off Brilliant's annual subscription by using this link:
brilliant.org
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