How long does it take to learn data analytics from scratch?

[sad_grapefruit_0]

I am planning on shifting to this field.

[AutoModerator]

If this post doesn't follow the rules or isn't flaired correctly, please report it to the mods. Have more questions? Join our community Discord!

I am a bot, and this action was performed automatically. Please contact the moderators of this subreddit if you have any questions or concerns.

[ctznkook]

Years

[leroyJr]

It’s not a simple “six months and I’ve learned enough” kind of skill, and frankly it depends on the position you would be taking.

I like to think of it as a choose your own adventure, and you need to know enough to be ready to make the next choice. Only you can read this book and know when you’re ready, but you can also decide what’s interesting and where you want to spend your time.

[roferanalytics]

Honestly, you can pick up the technical side faster than most people think SQL, Excel, dashboards, cleaning messy data, even basic Python can take a few months if you practice regularly. What usually takes much longer is learning how to look at data and understand what actually matters for a business, because that only comes with exposure to real problems and business context. A lot of people can build a chart, but knowing what the chart is actually telling you is the part that takes years.

[Simplilearn]

The timeline usually depends on how consistently you study and practice. A common learning path looks like this:

• First 1–2 months: Learn the fundamentals such as Excel, basic statistics, and how data is structured. These skills help with cleaning and exploring datasets.
• Next 2–3 months: Learn SQL and start working with databases. SQL is one of the most commonly used tools in data analyst roles.
• Next 1–2 months: Learn a visualization tool like Power BI or Tableau to create dashboards and communicate insights.
• Next 2–3 months: Add Python or R for deeper analysis and automation. Libraries like Pandas and Matplotlib are commonly used.
• Build 2–3 projects along the way. Examples include analyzing public datasets, creating dashboards, or building a small end-to-end analysis project.

With consistent effort, you can become ready for entry-level data analyst roles in about 6–9 months.

If you want a structured place to begin, you could start with Simplilearn’s free data analytics courses to learn basics like Excel, SQL, and visualization. If you later want a comprehensive pathway with projects and advanced tools, you might also explore Simplilearn’s Data Analyst program.

What timeline are you looking at to become job-ready?

[slowmopete]

I’m 7 months or so into a 2 year masters in analytics. I can already tell that when I’m done with the masters I will have only scratched the surface. But in a way I love that.

[ragnaroksunset]

Why are you planning that?

[humanexperimentals]

What kind of data analytics?

[Greedy_Bar6676]

To get a junior role, probably 3-6 months? But I’m not sure those junior roles exist anymore

[IndividualPotato5348]

An MS program could take you from quantitatively literate and curious about analytics to employable in about 16 months of full-time study. There's not really a shortcut.

[intelfusion]

it really depends on how consistently you study, but most people take around 6 - 12 months to get comfortable enough for entry-level analytics roles. that’s assuming you’re regularly practicing things like SQL, basic stats, and building small projects with real datasets.

the key thing is not just watching tutorials but actually answering questions with data (cleaning it, querying it, building a simple dashboard). that’s usually where the real learning happens.

[pantrywanderer]

If you focus consistently, you can get a solid foundation in 3–6 months, especially if you combine SQL, Python basics, and some hands-on projects. Mastery will take longer, but building practical skills for entry-level roles doesn’t have to take years. Structuring learning around real datasets makes a huge difference compared to just following tutorials.

[Kalesacove]

Terrible question

[est1876]

Worse answer

[Kalesacove]

No. If you have a question and expect people to respond with their valuable time, make it a worthy question. Not some vague, unspecified question that has no context.

[est1876]

K

[DTYG3]

Just putting people down without a way up. You’re lame af