Thread by @thegoldsuite

Want to Become a Professional Data Analyst?

Master these Easy 5 Skills👇

- Thread -

So you want to become a great data analyst?

Here are the five skills you should develop,

If you read this thread to the end, and if you implement these ideas

You can easily become a great Data Analyst.

Let's dive in.👇

5 Skills for Every Data Analyst:

1. Data Preparation
2. Numerical Analysis
3. Storytelling
4. Asking the Right Questions
5. Technology

Let's go in to each of these 👇

1. Data Preparation

To prepare data, you need to have these skills.
> Working with Data Sources:
you need to understand how to work with different data sources.
It may come from a web page, SQL DB, XML file, etc...

The 2nd skill under Data Preparation is 👇

> Cleaning up your data:
During this stage, you need to remove duplicate values.
Deal with blanks, and errors.
Fill up the missing values

The 3rd Skill under Preparation is:
> Combining Data:
During this stage, you are appending data sets, or doing intersections.

4th skill is👇

> Data Transformations:
This is when you already have the data but realize it is not in the desired shape, size, or frequency.

Moving on to the 2nd Skill. 👇

2. Numerical Analysis

There are many ways to do it, but you can go with these 4 areas:

> Statistical Analysis
This is basically, how to calculate simple statistics like mean, median mode and distribution.

Next is👇

> Functional Analysis:
This includes learning the functions of your industies and getting ideas of how some procedures work in your industry or line of work.

The next skill under Numerical Analysis is:👇

> Ad hoc Analysis:
As a data analyst, you may be asked to quickly analyze and produce outputs.

So it is always better if you know
- How to do Trend Analysis
- How to do distributions

There are no specific types of rules to do Ad hoc analysis.

The 4th Skill under Numerical Analysis is:

> Experimental analysis:
This is when you are asked to design an experiment or determine whether option A or B is superior.

Now we are moving to 3rd Skill; 👇

3. Storytelling

Telling stories with data.

You focus on charting and presenting.

Figure out which charts to use, how to format and present them,

and which can provide compelling, concise, and beautiful insights

With this skill, you also need to develop your persuation skill.

As a data analyst, you're selling insights to your audience,

which could be clients,
your manager, or
a shareholder.

You need to find a persuasive and concise way to tell that story.

With Storytelling and Persuation, if you could develop Design skill, it would be a greate conbination.

What I mean by Design Skill is, Develop a good understanding of
fonts,
colors, and
other design choices,

and how to creatively combine them to make your point.

This doesn't happen overnight, so practice and try different things to see what works best.

Now we are moving to the 3rd Skill: 👇

4. Asking the Right Questions

When you get an assignment or a project the first thing you need to do is, ask the right question.

This is because if you know
what you need to prepare,
what should be the outcome,
what is expected from you?

You could do it better and quicker.

For example, you may ask:
> Why you need it
> What you want me to include in this
> How do you want me to display
.
.
This is all to figure out the motivation behind the project/assignment.

Moving on to the Last Skill 👇

5. Technology

So, when it comes to technology skills, which include:
Excel
Tableau,
Python,
Power BI,
R
SQL

and more...

You can look here if you want to learn how to become a professional data analyst.
thegoldsuite.com/the-fastest-wa…

When it comes to presenting you may need to develop PowerPoint skills, and design Dashboards in Excel, that way you can present your data in a more convincing manner in front of your audience.

That is it for today,
Here is a quick recap of this thread 👇

5 Skills for Every Data Analyst:

1. Data Preparation
>Working with Data Sources
>Cleaning up your Data
> Combining Data
> Data Transformations

2. Numerical Analysis
>Statistical Analysis
>Functional Analysis
> Ad hoc Analysis:
> Ad hoc Analysis:
>Experimental Analysis

3. Storytelling
>Persuasive Skill

4. Asking the Right Questions
>what you need to prepare,
>what should be the outcome,
>what is expected from you

5. Technology
>Excel
>Tableau,
>Python,
>Power BI,
>R
>SQL ......

That's a wrap!

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Here is the shortest path to if you want to become a Data Analyst.

You will understand:
✅Exact path
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✅Where to Learn the technologies
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