Analyze Data with Python - Skill Path

Methode
Logo von Codecademy

Tipp: Haben Sie Fragen? Für weitere Details einfach auf "Kostenlose Informationen" klicken.

Beschreibung

It’s time to start investing in yourself.

Choosing Codecademy means getting a 1 year access to the entire Codecademy catalogue. Over 60 different courses, 14 coding languages to learn and 13 skills paths.

Coding skills have never been more in-demand. Learn everything you need to take your career to the next level.

Data is everywhere. That means more companies are tracking, analyzing, and using the insights they find to make better decisions. In this Skill Path, you’ll learn the fundamentals of data analysis while building Python skills.

Pre-requisites

None. Beginners are welcome !


Objectives

Visualize Data
Use your Python skills to better present the data by visualizing it with graphs, charts, and more.

Interpret large Data Set
Statistics can be tricky, but you’ll have no problem analyzing data to make more informed decisions.

Test your Hypothesis
Check your gut instincts by designing and running A/B tests to further evaluate the data.


Courses included

Introduction to Data Analysis

Introduction to P…

Gesamte Beschreibung lesen

Frequently asked questions

Es wurden noch keine Besucherfragen gestellt. Wenn Sie weitere Fragen haben oder Unterstützung benötigen, kontaktieren Sie unseren Kundenservice.

Noch nicht den perfekten Kurs gefunden? Verwandte Themen: Data Science Python, Python, Big Data, Data Science und Data Analytics.

It’s time to start investing in yourself.

Choosing Codecademy means getting a 1 year access to the entire Codecademy catalogue. Over 60 different courses, 14 coding languages to learn and 13 skills paths.

Coding skills have never been more in-demand. Learn everything you need to take your career to the next level.

Data is everywhere. That means more companies are tracking, analyzing, and using the insights they find to make better decisions. In this Skill Path, you’ll learn the fundamentals of data analysis while building Python skills.

Pre-requisites

None. Beginners are welcome !


Objectives

Visualize Data
Use your Python skills to better present the data by visualizing it with graphs, charts, and more.

Interpret large Data Set
Statistics can be tricky, but you’ll have no problem analyzing data to make more informed decisions.

Test your Hypothesis
Check your gut instincts by designing and running A/B tests to further evaluate the data.


Courses included

Introduction to Data Analysis

Introduction to Pyhton- Learn the fundamentals of Python, one of the most popular programming languages for Data Analysis.

NumPy: A Python Library for Statistics

Data Manipulation with Pandas - Learn the basics of Pandas, an industry standard Python library that provides tools for data manipulation and analysis.

Data Visualization with Matplotlib - Insights mean nothing if you can’t present them and convince others that the findings are important. But how do we present data in Python?

Statistics for Data Analysis

Hypothesis Testing with SciPy

Final Projects - Put your new analysis skills to work with a series of case studies and capstone projects.


How are Skill Paths different?

Get a specialized skill. Want to level up at work? Gain a practical, real-world skill that you can use right away to stand out at your job.

Get step-by-step guidance. We guide you through exactly where to start and what to learn next to build a new skill.

Get there quickly. We’ve hand-picked the content in each Skill Path to fast-track your journey and help you gain a new skill in just a few months.


Choosing Codecademy it is getting a 1 year access to the entire catalogue!

Werden Sie über neue Bewertungen benachrichtigt

Es wurden noch keine Bewertungen geschrieben.

Schreiben Sie eine Bewertung

Haben Sie Erfahrung mit diesem Kurs? Schreiben Sie jetzt eine Bewertung und helfen Sie Anderen dabei die richtige Weiterbildung zu wählen. Als Dankeschön spenden wir € 1,00 an Stiftung Edukans.

Es wurden noch keine Besucherfragen gestellt. Wenn Sie weitere Fragen haben oder Unterstützung benötigen, kontaktieren Sie unseren Kundenservice.

Bitte füllen Sie das Formular so vollständig wie möglich aus

Anrede
(optional)
(optional)
(optional)
(optional)
(optional)

Haben Sie noch Fragen?

(optional)
Damit Ihnen per E-Mail oder Telefon weitergeholfen werden kann, speichern wir Ihre Daten.
Mehr Informationen dazu finden Sie in unseren Datenschutzbestimmungen.