A cheap, solid Python course, not a full analyst bootcamp
365 Careers' Data Analyst Course is a well-produced, low-cost way to learn Python for data work: 21.5 hours on Python, NumPy, pandas, data cleaning and charts, with two worked case studies. The name oversells it, though. There is no SQL, Excel, Tableau or Power BI, which most junior analyst job ads ask for. Buy it on sale if you want a focused Python-for-data course or a cheap supplement to a certificate. If you need the full analyst toolkit and a recognised credential, choose Google or IBM on Coursera instead.
What we liked
- Often on sale for around $10–13, with lifetime access
- Strong on data cleaning and preprocessing, a step many beginner courses skip
- Two realistic case studies: a loan dataset in NumPy and an absenteeism dataset in pandas
- Clear, tightly edited videos at a steady pace
- Updated in August 2026 and includes coding exercises
What we didn't
- No SQL, Excel or BI tools despite the 'complete bootcamp' title
- Light on statistics and on presenting findings to stakeholders
- Udemy completion certificate carries little weight with employers
- Long stretches on NumPy that analysts rarely need in daily work
Who it's for
Take it if you…
- want to learn Python for data analysis at the lowest possible cost
- are taking a Coursera certificate and want extra Python and pandas practice
- learn well from short, structured videos with worked examples
Skip it if you…
- need SQL, Excel, Tableau or Power BI skills for analyst job applications
- want a credential that recruiters recognise
- need graded projects and feedback
What you'll learn: the 10 courses
- Introduction to the Course / Introduction to Data Analytics / Setting up the EnvironmentThe analyst role and installing Anaconda and Jupyter~1.4 hrs
- Python Basics / Fundamentals for Coding in Python / Mathematics for PythonVariables, loops, functions and the maths you need for data work~3.4 hrs
- NumPy Basics / Pandas - BasicsFirst look at arrays, Series and DataFrames~1.7 hrs
- Working with Text Files / Working with Text Data / Must-Know Python ToolsImporting and saving files, string handling, list comprehensions and lambda functions~3.2 hrs
- Data Gathering/Data Collection / APIsPulling live data from an API with a simple script~0.7 hrs
- Data Cleaning and Data Preprocessing / pandas Series / pandas DataFramesCleaning data with pandas~1.2 hrs
- NumPy Fundamentals to NumPy - Preprocessing (6 sections)Data types, arrays, generating data, statistics and preprocessing in NumPy~4.2 hrs
- A Loan Data Example with NumPyA full case study cleaning and preprocessing loan data~1.5 hrs
- The "Absenteeism" ExerciseA pandas data-cleaning exercise with a worked solution~1.4 hrs
- Data VisualizationBar, line, area, pie, histogram, scatter, regression and combo charts~2.9 hrs
Skills you'll practise
The Data Analyst Course: Complete Data Analyst Bootcamp is a 21.5-hour Udemy course from 365 Careers that teaches Python, NumPy and pandas for collecting, cleaning, preprocessing and charting data. It has 286 lectures in 27 sections and was last updated in August 2026. On sale it usually costs less than a month of Coursera. Our verdict: it is good value as a Python-for-data course, but it is not a complete analyst bootcamp. It does not teach SQL, Excel, Tableau or Power BI, so pair it with a course that does.
Is The Data Analyst Course on Udemy worth it in 2026?
Yes, if you buy it on sale and use it for Python practice. It teaches data cleaning and preprocessing better than most beginner courses. No, if you expect it alone to prepare you for analyst jobs, because it skips SQL and BI tools.
The course is strongest in its second half. The loan data case study and the absenteeism exercise make you clean messy, realistic datasets step by step, which is closer to real analyst work than the tidy examples many courses use. The 365 Careers team edits tightly, so videos rarely waste time.
The gap is scope. Most junior analyst job ads ask for SQL first, then Excel and a BI tool such as Tableau or Power BI. This course covers none of them. It also spends more than four hours on NumPy internals, time a working analyst would rather spend on SQL joins or dashboards.
When the answer flips
- You want the full analyst toolkit and a recognised credential: the Google Data Analytics certificate or IBM Data Analyst certificate is the better buy.
- You want Python for apps and automation as well as data: 100 Days of Code covers far more ground.
- You can’t spend anything: Python for Everybody teaches the Python basics; it is free on py4e.com, and the Coursera certificate is paid.
A strong, cheap Python-for-data course with misleading packaging. Buy it as a supplement and learn SQL elsewhere.
How much does The Data Analyst Course cost?
The list price is $74.99, but Udemy discounts it often. In October 2026 it was on sale for $11.99. You pay once, keep lifetime access and get a 30-day refund window.
| How you buy it | Price (US) | What you get |
|---|---|---|
| Full list price | $74.99 | Lifetime access; rarely worth paying |
| Typical sale price | ~$10–13 | Same course, same lifetime access |
| Udemy Personal Plan | from $11/month | This course plus thousands of others while you subscribe |
Never pay list price for a Udemy course; wait a few days for a sale. Our Udemy deals page tracks current discounts, and the Udemy review explains when the Personal Plan makes sense. Prices change often, so confirm on the official course page before you buy.
What does The Data Analyst Course teach?
It teaches Python for data analysis in a fixed order: Python basics, NumPy and pandas, working with files and text, collecting data from an API, cleaning, preprocessing and visualisation. Two case studies tie the steps together.
The first third covers Python from zero, including a short maths section. The middle covers file handling, text data, list comprehensions and lambda functions, then a short API module that pulls live data with a simple script. The final third is cleaning and preprocessing in pandas and NumPy, followed by a 37-lecture data visualisation section covering bar, line, area, histogram, scatter, regression and combo charts. You install Anaconda and work in Jupyter notebooks.
How hard is The Data Analyst Course?
It is beginner-friendly and assumes no coding experience. The NumPy preprocessing sections are the hardest part. With exercises, expect 30 to 40 hours of work, or six to eight weeks at five hours a week.
Because there are no graded projects, discipline is on you. Code along with every video and redo each case study on a dataset of your own. Without that, 21 hours of video can pass with little sticking.
The Data Analyst Course vs alternatives
The usual choice is between about $12 on Udemy and $49 a month on Coursera. Our Coursera vs Udemy comparison covers the platforms. Here is how this course compares on content.
| Course | Tools covered | Cost | Credential | Best for |
|---|---|---|---|---|
| The Data Analyst Course (Udemy) | Python, NumPy, pandas | ~$12 on sale | Udemy completion | Cheap Python-for-data practice |
| Google Data Analytics | Sheets, SQL, Tableau, Python | ~$150–300 | Google professional certificate | Complete beginners |
| IBM Data Analyst | Excel, SQL, Python, Cognos | ~$150–250 | IBM professional certificate | Faster pace, more Python |
| Python for Data Science, AI & Development | Python, pandas, NumPy, APIs | Free first-module preview; full course on subscription | Coursera certificate (paid) | Short Python intro |
Our recommendation for a career changer on a budget: take a Coursera certificate for the structure and credential, and add this course for extra pandas practice. See the full shortlist in the best data analytics certificates.
Will The Data Analyst Course get you a data analyst job?
Not on its own. It gives you solid Python data-cleaning skills, but employers expect SQL and usually Excel and a BI tool. The Udemy certificate shows completion, not assessed skill.
Use it as one block in a larger plan: Python here, SQL and a BI tool elsewhere, then two portfolio projects. Our how to become a data analyst guide and the data analyst career page set out that plan in order.
The Data Analyst Course FAQ
Does The Data Analyst Course teach SQL?
No. The course covers Python, NumPy and pandas only. It has no SQL, Excel, Tableau or Power BI sections, so you need another course for those.
Who teaches The Data Analyst Course?
365 Careers, a training company that publishes data and finance courses on Udemy. The course is credited to the company rather than a single named instructor.
Is the Udemy certificate worth anything?
It is a certificate of completion, not an assessed or accredited credential. It can go on LinkedIn, but recruiters give it little weight.
How long does it take to finish?
The video runs 21.5 hours. With exercises, plan on 30 to 40 hours, or about a month at eight to ten hours a week.
Can I get a refund?
Udemy offers a 30-day money-back guarantee on individual course purchases, subject to its refund policy.