What stood out to me was how the course treats Excel not as something to abandon but as a stepping stone into Python, mapping familiar spreadsheet logic onto pandas operations one piece at a time. The data cleaning exercises felt very close to real messy datasets rather than tidy textbook examples. I finished feeling confident enough to start automating reports I used to build by hand.
Data Analysis Foundations: From Excel to Python
Go from basic spreadsheet analysis in Excel to advanced data manipulation and visualization with Python's core libraries.
-
💬
AI instructor
Ask about any lesson and get a clear answer instantly, anytime. -
🕐
Start anytime
No schedules or deadlines — learn at your own pace, whenever suits you. -
🌐
In English
Lessons, tasks and certificate — all fully in your language.
About this course
Are you looking to turn raw business data into actionable insights but don't know where to start? This course provides a clear path from the spreadsheet skills you may already have to the powerful programming capabilities you need to succeed in a data-driven world.
You will begin your journey in the familiar environment of Excel, learning to clean, organize, and analyze data with functions, PivotTables, and charts. Then, you'll transition smoothly to Python, where you'll discover how to automate tasks, handle larger datasets, and create sophisticated analyses and visualizations that go beyond the limits of a spreadsheet.
What you'll learn:
- Analyze datasets using advanced Excel features like PivotTables, LOOKUP functions, and dynamic array formulas.
- Set up a modern Python environment and learn the fundamental syntax for working with data types and structures.
- Use the pandas library in Python to efficiently clean, transform, and aggregate data from various sources like CSV and Excel files.
- Create compelling charts and graphs in both Excel and Python (using libraries like Matplotlib) to communicate your findings.
- Understand the core principles of data analysis, from asking the right questions to interpreting the results.
- Apply your skills to practical, business-oriented case studies and analysis exercises.
The course starts with data analysis principles using Excel's most powerful features before progressively introducing Python and its essential data science libraries for more robust analysis. We build your skills from the ground up, ensuring a solid understanding at every step.
This course is designed for absolute beginners with no prior experience in programming or data analysis. If you are an office professional, student, or anyone curious about data, you have everything you need to get started.
Begin your journey into the world of data analysis today.
What you'll get
-
📜
Certificate of completion
Add it to your LinkedIn profile -
💬
Personal AI tutor
Stuck on a lesson? Ask your built-in tutor anything, any time. -
🎧
Audio version included
Learn on the go — no screen needed -
♾️
Lifetime access
Come back anytime, no expiry -
📱
Phone or computer
Works anywhere, any device -
💸
14-day refund
No questions asked -
⚡
Short & focused
2h 42m of practical content
Certificate of completion
Every course you complete on PickAClass issues a credential like this — original, with its own code, verifiable by URL, and detailed about what was actually demonstrated.
P
PickAClass
Skills profile · verifiable
Document
Certificate of Mastery
This certifies that
Name Surname
has successfully demonstrated mastery of
Data Analysis Foundations: From Excel to Python
Skills demonstrated
✓
Behavioral pattern analysis
Foundational
1.2 hrs
✓
Decision-architecture frameworks
Proficient
1.4 hrs
✓
A/B test design
Proficient
1.7 hrs
✓
Behavioral copywriting
Advanced
1.9 hrs
P
PickAClass — Name Surname
Data Analysis Foundations: From Excel to Python
Page 2 of 2
Performance detail
Coursework summary
Lessons completed
14 / 14
Practice questions
26 / 28
Assignments submitted
4 (avg 4.5 / 5)
Capstone project
Reviewed — 4.6 / 5
Total practice
6.2 hrs
Performance benchmark
Cohort rank
Top 12% of 1,625
Time to completion
11 days (median: 22)
Mastery score
91 / 100
Practice-question score
94%
Skill verification
Verified Skill Path
Reviews (17)
Cercavo un corso che mi facesse passare da Excel a Python senza il solito salto nel vuoto, e questo lo fa benissimo. Si parte da concetti che uso ogni giorno, come tabelle pivot e filtri, per poi mostrarne l'equivalente in pandas passo dopo passo. Le lezioni sulla pulizia dei dati sono particolarmente utili perché affrontano problemi reali, tipo valori mancanti e formati incoerenti. Anche la parte di visualizzazione con matplotlib è spiegata in modo semplice, senza dare per scontato che tu sappia già programmare. Ho seguito il corso durante le pause pranzo e la struttura a piccoli moduli si è rivelata perfetta per questo. Alla fine mi sono ritrovato a scrivere script che prima sembravano fantascienza.
I've used Excel for years but always felt intimidated by Python, and this course bridged that gap really well. It starts with pivot tables and formulas you already know, then slowly maps those same ideas onto pandas and dataframes so nothing feels foreign. By the time I got to the visualization section I was actually writing my own small scripts instead of just copying along.
Me gustó bastante cómo conecta las funciones de Excel con los primeros scripts de Python, aunque la parte de visualización con librerías se siente un poco apresurada.
Ponte perfeita entre Excel e Python.
Sempre usei Excel no trabalho, mas nunca tinha coragem de aprender Python, e esse curso deixou o caminho bem menos assustador. As primeiras aulas retomam conceitos de planilhas que já conhecia, tipo tabelas dinâmicas, e depois mostram como fazer a mesma coisa com pandas. Gostei muito da forma como os exercícios evoluem aos poucos, sem pular etapas importantes. A parte de limpeza de dados com valores ausentes ficou bem clara e prática. Se tivesse que apontar algo, diria que a seção final sobre gráficos em Python poderia ser um pouco mais detalhada. Fora isso, senti que consegui dar um salto real nas minhas habilidades de análise.
Świetnie pokazuje, jak przenieść nawyki z Excela na pandas w Pythonie, bez zbędnego zagłębiania się w teorię programowania.
Kursus ini benar-benar membantu transisi dari Excel ke Python tanpa bikin pusing. Konsep pivot table di Excel dijelaskan lagi dengan pandas jadi lebih gampang nyambungnya. Bagian visualisasi datanya juga bikin saya akhirnya berani coba bikin grafik sendiri di Python.
Buen puente entre Excel y pandas, aunque la parte de visualización se me hizo algo corta.
판다스로 넘어가는 부분에서 막막할 줄 알았는데 엑셀 개념과 연결해서 설명해줘서 생각보다 수월하게 따라갔습니다.
Der Übergang von Excel-Formeln zu Python-Code wird hier wirklich schrittweise erklärt, was mir als Nicht-Programmierer sehr geholfen hat. Die Pandas-Übungen bauen direkt auf Dingen auf, die man aus Pivot-Tabellen schon kennt. Etwas mehr Übung bei den Visualisierungsbibliotheken hätte ich mir trotzdem gewünscht.
엑셀에서 시작해서 파이썬까지 자연스럽게 넘어가는 구성이라 데이터 분석 기초를 잡는 데 정말 도움이 됐어요.
Llevaba tiempo queriendo dar el salto de Excel a Python y este curso lo hace de forma muy natural. Cada tema empieza con algo conocido de las hojas de cálculo y luego lo traduce a código, así que nunca sientes que estás empezando de cero. Las secciones sobre limpieza y visualización de datos con pandas quedaron especialmente claras.
شرح جيد لكنه سريع أحياناً.
Шла на курс с уверенным Excel, но без малейшего понятия о Python, и переход оказался на удивление плавным. Сначала повторили сводные таблицы и формулы, а потом аккуратно показали те же задачи уже через pandas, и связь между ними стала очевидной. Особенно зашли уроки по визуализации в matplotlib, наконец перестала бояться кода. Теперь обрабатываю отчёты в разы быстрее, чем раньше вручную. Отличный мост от таблиц к настоящему анализу данных.
I went in expecting a dry programming tutorial but instead got a genuinely well-paced bridge between spreadsheet thinking and Python scripting. The instructor keeps circling back to Excel equivalents whenever a new pandas function shows up, which made the learning curve feel much gentler than I expected. The final project pulling everything together into a small visualization was a nice way to see how far I'd come.
J'ai adoré la façon dont le cours relie chaque fonction Excel que je connaissais déjà à son équivalent en Python avec pandas.
Learners also took
⚡ Best to start
🎓 With certificate
Data Wrangling with Python: Clean and Transform Datasets
Certificate
Hands-on
45,00 lei
→
🔥 Hot
🎓 With certificate
Python and SQL for Data Analysis: CSV to Dashboard
Certificate
Hands-on
45,00 lei
→
🌟 Students’ pick
🎓 With certificate
Python Data Processing and Analysis for Everyone
Certificate
Hands-on
45,00 lei
→
🔥 Hot
🎓 With certificate
Python for Data: A Beginner's First Steps
Certificate
Hands-on
45,00 lei
→
Frequently asked
What do I need to take this course? +
Just a phone or computer with internet. No installs, no special hardware.
How do I pay? +
By card via Stripe. We don’t store card details — Stripe handles them securely.
Can I get a refund? +
Yes — full refund within 14 days, no questions asked.
How long will I have access? +
Forever. Once you purchase, the course is yours to revisit anytime.
Will I get a certificate? +
Yes. On completion you'll receive a certificate you can add to your LinkedIn profile.
Built for learners in
Tech
Design
Finance
Marketing
Healthcare
Education
Hospitality
Manufacturing
10
Get 10 courses a month
Members get 10 courses of their choice every month for 0 lei. No per-course charges — you pay only the subscription.
230 lei / per month
- ✓ 10 courses every month
- ✓ Cancel anytime
Renews monthly. Unused courses expire at the end of each billing month.