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Data Analysis courses

Data analysis courses teach techniques for inspecting, cleaning, transforming, and modeling data to discover useful information, inform conclusions, and support decision-making. Build your analysis skills using technologies such as Python, R and SQL.

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Prova DataCamp for Business

Recommended for Data Analysis beginners

Build your Data Analysis skills with interactive courses, curated by real-world experts

Corso

Analizzare i dati in Tableau

BasicLivello di competenza
4.8+
1837 revisioni
8 h
Migliora le tue competenze con Tableau grazie ad analisi e visualizzazioni avanzate.

Programma

Analista dati associato in SQL

4.7+
194 revisioni
39 h
Acquisisci le competenze SQL necessarie per interrogare un database, analizzare i risultati e diventare un analista di dati esperto di SQL. Non è richiesta alcuna esperienza di codifica!

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Corso

Dealing With Missing Data in R

BasicLivello di competenza
4.7+
150 revisioni
4 h
Make it easy to visualize, explore, and impute missing data with naniar, a tidyverse friendly approach to missing data.

Corso

Calculations in Sigma

BasicLivello di competenza
4.8+
214 revisioni
2 h
Build dynamic Sigma calculations to explore data, automate logic, and uncover trends with practical business examples.

Corso

Creare dashboard con Dash e Plotly

IntermedioLivello di competenza
4.8+
304 revisioni
4 h
Scopri come creare dashboard interattive e piene di informazioni utili con Dash e Plotly.

Corso

Tecniche statistiche in Tableau

IntermedioLivello di competenza
4.8+
702 revisioni
4 h
Porta le tue abilità di reporting a un livello superiore con le funzioni statistiche integrate di Tableau.

Corso

Window Functions in Snowflake

IntermedioLivello di competenza
4.8+
575 revisioni
3 h
Scopri le funzioni della finestra Snowflake per risolvere problemi complessi con i dati usando classifiche, partizioni e calcoli continui.

Corso

Fondamenti di inferenza in R

IntermedioLivello di competenza
4.7+
58 revisioni
4 h
Impara a tirare conclusioni su una popolazione partendo da un campione di dati usando un processo chiamato inferenza statistica.

Corso

Introduzione a Python in Power BI

IntermedioLivello di competenza
4.8+
159 revisioni
3 h
Scopri come usare gli script Python in Power BI per preparare i dati, creare visualizzazioni e calcolare i coefficienti di correlazione.

Corso

Analisi dei dati bayesiana in Python

IntermedioLivello di competenza
4.7+
269 revisioni
4 h
Scopri tutti i vantaggi dellanalisi bayesiana dei dati e usala in un sacco di casi reali!

Corso

Analisi delle serie temporali in Power BI

IntermedioLivello di competenza
4.7+
288 revisioni
5 h
Learn to analyze data over time with this practical course on Time Series Analysis in Power BI. Work with real datasets & practice common techniques.

Corso

Case Study: Supply Chain Analytics in Power BI

BasicLivello di competenza
4.8+
196 revisioni
4 h
Learn how to use Power BI for supply chain analytics in this case study. Create a make vs. buy analysis tool, calculate costs, and analyze production volumes.

Corso

Visualizzazione dei dati del baseball in Power BI

BasicLivello di competenza
4.8+
215 revisioni
1 h
Discover how to analyze and visualize baseball data using Power BI. Create scatter plots, tornado charts, and gauges to bring baseball insights alive.

Corso

Visualizzare dati geospaziali in Python

IntermedioLivello di competenza
4.7+
365 revisioni
4 h
Crea visualizzazioni accattivanti di dati geospaziali in Python con il pacchetto geopandas e le mappe folium.

Corso

Analisi delle serie temporali in R

IntermedioLivello di competenza
4.8+
91 revisioni
4 h
Impara le tecniche fondamentali per ricavare informazioni significative dai dati delle serie temporali.

Corso

RNA-Seq con Bioconductor in R

IntermedioLivello di competenza
4.7+
151 revisioni
4 h
Scopri i geni chiave per malattie o condizioni diverse con l’analisi dell’espressione differenziale RNA-Seq.

Corso

Rilevamento delle anomalie in Python

IntermedioLivello di competenza
4.8+
183 revisioni
4 h
Scopri le anomalie nellanalisi dei tuoi dati e dai una spinta al tuo kit di strumenti statistici Python in questo corso di quattro ore.

Corso

Analyzing Social Media Data in Python

IntermedioLivello di competenza
4.8+
34 revisioni
4 h
In this course, youll learn how to collect Twitter data and analyze Twitter text, networks, and geographical origin.

Corso

Fundamentals of Bayesian Data Analysis in R

IntermedioLivello di competenza
4.8+
233 revisioni
4 h
Learn what Bayesian data analysis is, how it works, and why it is a useful tool to have in your data science toolbox.

Corso

Progettazione Sperimentale in R

IntermedioLivello di competenza
4.7+
365 revisioni
4 h
In questo corso imparerai le basi della progettazione sperimentale, una parte fondamentale di qualsiasi analisi dei dati.

Corso

Pulizia dei dati nei database SQL Server

IntermedioLivello di competenza
4.8+
209 revisioni
4 h
Metti a punto le competenze che ti servono per pulire i dati grezzi e trasformarli in informazioni precise.

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    Frequently asked questions

    Is data analysis easy to learn?

    It’s different for everyone. Some people pick up data analysis very quickly, while others need a bit more time. The underlying theory and concepts are not hard to understand (or highly technical), but you’ll need to learn a few popular data analysis tools. 

    This includes SQL and databases, a programming language such as Python or R, spreadsheets and Excel, and software such as Power BI or Tableau. 

    It might sound like a lot, but each technology is easy to learn individually, especially when you choose data analysis courses from a dedicated online training provider like DataCamp.

    Has AI changed the role or need for data analysts?

    AI is indeed transforming the data analyst's role. Rather than replacing them, it has automated repetitive tasks, freeing analysts to focus on complex issues, interpret AI results, and strategize. Although AI aids in data analysis, human supervision for training and adjusting AI models remains crucial. Thus, AI is changing the analyst role but increased its importance.

    Which data analysis course is the best?

    We only release courses that meet our high quality standards, which is why DataCamp is known as a leading platform for learning data analysis! That being said, our Data Analyst with Python Career Track is one of our most popular, comprehensive course programs for acquiring the skills to become a data analyst from scratch.

    How can I become a data analyst quickly?

    To become a data analyst quickly, a structured learning path like DataCamp's Career Tracks is beneficial. For example, programs such as our Data Analyst with Python and Data Analyst with Power BI Tracks are designed to gradually upskill you in the various concepts, technologies and processes required to be a data analyst.

    And importantly, becoming a data analyst requires dedication and consistency in learning, while embracing a positive attitude towards problem-solving. Applying your knowledge to real-world projects helps solidify concepts, and creating a data portfolio to showcase these projects can demonstrate your proficiency to potential employers.

    See our 'How to become a data analyst' article for further guidance.

    How can online courses help you learn data analytics?

    DataCamp's courses provide a flexible and convenient way to learn data analytics at your own pace. Our data analytics courses, taught by industry experts, offer interactive exercises and practical projects that help you apply theoretical concepts to real-world scenarios.

    Do I need a background in programming to start learning data analytics?

    No, you don't need a programming background to start learning data analytics. Our beginner courses, such as Introduction to SQL and Analyzing Data in Tableau, are designed to accommodate beginners and gradually introduce programming concepts, if needed.

    What jobs can you get with data analysis skills?

    With data analysis skills in your technical tool kit, you have plenty of job options:

    • Data analyst
    • Database administrator
    • Systems analyst
    • Business intelligence
    • Digital marketer
    • Data scientist
    • Financial analyst
    • And many more!

    Because the modern business world is data-driven, people with data analysis skills find it easy to get work in an eclectic mix of industries and sectors.

    Are data analysis skills in demand?

    Yes, data analysts are some of the most in-demand professionals worldwide. Data from the US Bureau of Labor Statistics suggest the number of jobs for analysts is expected to grow by 23% between 2021 and 2031.

    How can I prove my data analysis skills to employers?

    To prove your data analysis skills to employers, you can complete our industry recognized Data Analyst Certification. This certification showcases your data analysis knowledge using SQL and either Python or R.

    What tools and software are commonly used in data analytics?

    Common tools in data analytics include Excel, SQL, Python, R, Tableau, and Power BI. These tools help in data manipulation, analysis, and visualization.

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