Análise de dados com Python from Coursera

Saiba como analisar dados usando Python. Este curso abrange desde o básico do Python até a exploração de diferentes tipos de dados. Você aprenderá como preparar dados para análise, executar análises estatísticas simples, criar visualizações de dados significativas, prever tendências futuras a partir de dados, e muito mais! Tópicos abordados: 1) Importação de conjuntos de dados 2) Limpeza dos dados 3) Manipulação de estrutura de dados 4) Resumo dos dados 5) Construção de modelos de regressão de aprendizado de máquina 6) Construção de dados pipeline A análise de dados com Python será realizada por meio de palestras, laboratórios e tarefas. Ele inclui as seguintes partes: Bibliotecas de análise de dados:aprenderá a usar bibliotecas Pandas, Numpy e Scipy para trabalhar com uma amostra de conjunto de dados. Apresentaremos o pandas, uma biblioteca de código aberto, e a usaremos para carregar, manipular, analisar e visualizar conjuntos de dados. Em seguida, apresentaremos outra biblioteca de código aberto, a scikit-Learn, e usaremos alguns de seus algoritmos de aprendizado de máquina para criar modelos inteligentes e fazer previsões interessantes. Se você optar por fazer este curso e receber o certificado do curso Coursera, você também ganhará um selo digital da IBM. OFERTA LIMITADA: a assinatura custa apenas US$ 39,00 por mês para acesso a materiais classificados e a um certificado.

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Teaches data analysis using Python and Pandas, a standard library in the field

Develops expertise in using NumPy, a core library for mathematics and data processing

Provides hands-on labs and interactive materials for practical application

Lays the foundation for further studies in data analysis

Covers a wide range of data analysis topics, from data manipulation to statistical modeling

Requires no prior programming experience, making it accessible to beginners

Reviews summary

Informative python data analytics course

Análise de dados com Python é um curso útil para iniciantes que buscam conhecimento básico em análise de dados usando Python. Ele cobre tópicos essenciais como importação de dados, limpeza, manipulação de estrutura de dados, resumo de dados e construção de modelos de regressão de aprendizado de máquina.

Utiliza bibliotecas valiosas como Pandas e Scikit-Learn

"...aprenderá a usar bibliotecas Pandas, Numpy e Scipy para trabalhar com uma amostra de conjunto de dados..."

Curso abrangente que cobre tópicos essenciais

"...abrange desde o básico do Python até a exploração de diferentes tipos de dados..."

Suporte limitado disponível

"...muito ruim, sem suporte, ta abandonado!..."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Análise de dados com Python with these activities:

Review the book 'Python for Data Analysis'

Show steps

Review the book 'Python for Data Analysis' to reinforce your understanding of the Python libraries covered in the course.

View Python for Data Analysis on Amazon

Show steps

Read the book.
Take notes on the key concepts.
Complete the exercises at the end of each chapter.

Compile your notes and assignments

Show steps

Compile your notes and assignments to create a comprehensive study resource.

Show steps

Gather your notes and assignments.
Organize your notes and assignments by topic.
Create a study guide.

Perform data analysis practice problems

Show steps

Practice data analysis problems to reinforce your understanding of the concepts covered in the course.

Browse courses on Data Analysis

Show steps

Find data analysis practice problems online or in textbooks.
Solve the practice problems using the Python libraries covered in the course.
Check your solutions against the provided answers.

Five other activities

Expand to see all activities and additional details

Show all eight activities

Follow tutorials on using Python for data analysis

Show steps

Follow tutorials on using Python for data analysis to supplement the course material.

Browse courses on Python

Show steps

Find tutorials on using Python for data analysis.
Follow the tutorials step-by-step.
Complete the exercises at the end of each tutorial.

Participate in a peer study group

Show steps

Participate in a peer study group to discuss the course material and work on projects together.

Browse courses on Data Analysis

Show steps

Find a peer study group to join.
Attend the study group meetings regularly.
Participate in the discussions and work on the projects.

Create a data visualization dashboard

Show steps

Create a data visualization dashboard to demonstrate your understanding of data visualization techniques.

Browse courses on Data Visualization

Show steps

Choose a dataset to work with.
Clean and prepare the data.
Create visualizations to represent the data.
Organize the visualizations into a dashboard.

Attend a data analysis workshop

Show steps

Attend a data analysis workshop to learn new skills and techniques.

Browse courses on Data Analysis

Show steps

Find a data analysis workshop to attend.
Register for the workshop.
Attend the workshop.

Create a data analysis project

Show steps

Create a data analysis project to demonstrate your understanding of the concepts covered in the course.

Browse courses on Data Analysis

Show steps

Choose a dataset to work with.
Clean and prepare the data.
Analyze the data.
Create visualizations to represent the data.
Write a report on your findings.

Career center

Learners who complete Análise de dados com Python will develop knowledge and skills that may be useful to these careers:

Data Scientist

This course provides a solid foundation for aspiring Data Scientists. You will learn how to analyze data using Python, which is a key skill in this field. The course covers topics like data cleaning, data manipulation, and machine learning, which are all essential for building and deploying data-driven solutions. By completing this course, you will gain a competitive advantage in the job market and increase your chances of success as a Data Scientist.

See salaries and explore the career path for Data Scientist

Machine Learning Engineer

For aspiring Machine Learning Engineers, this course is a valuable asset. It introduces you to Python libraries such as Scikit-Learn and provides hands-on experience in building machine learning models. This knowledge is crucial for designing, implementing, and evaluating machine learning systems. The course will help you build a strong foundation in Python-based machine learning and prepare you for a successful career in this field.

See salaries and explore the career path for Machine Learning Engineer

Data Analyst

Understanding data analysis with Python, as covered in this course, is an essential foundation to building a successful career as a Data Analyst. The course will help you gain proficiency in essential Python libraries like Pandas, NumPy, and Scikit-Learn, which will enhance your ability to clean, explore, analyze, and visualize data. It will also introduce you to machine learning techniques, providing you with a competitive edge in this in-demand field.

See salaries and explore the career path for Data Analyst

Quantitative Analyst

Finance professionals seeking to enhance their quantitative skills will find this course beneficial. By learning data analysis with Python, you will gain proficiency in handling and analyzing large datasets. The course covers essential libraries like Pandas and NumPy, which are widely used in the financial industry. Moreover, you will gain exposure to machine learning techniques, enabling you to explore predictive modeling and risk assessment.

See salaries and explore the career path for Quantitative Analyst

Business Analyst

For professionals seeking a career in Business Analysis, this course offers valuable insights. It will enhance your data analysis skills, enabling you to translate raw data into actionable insights for informed decision-making. The course covers data manipulation, statistical analysis, and data visualization techniques, which are essential for understanding business trends and optimizing operations.

See salaries and explore the career path for Business Analyst

Statistician

This course provides a strong foundation for individuals pursuing a career in Statistics. You will learn how to use Python for data analysis, which is a valuable skill in this field. The course covers topics like data cleaning, statistical modeling, and data visualization, which are essential for analyzing and interpreting data. By completing this course, you will enhance your statistical knowledge and improve your employability as a Statistician.

See salaries and explore the career path for Statistician

Data Engineer

Aspiring Data Engineers will find this course beneficial as it introduces them to the fundamentals of data analysis with Python. You will gain proficiency in data manipulation, data cleaning, and data visualization techniques. The course also covers topics like data pipelines and machine learning, which are essential for building and maintaining data infrastructure. By completing this course, you will develop a strong foundation in data engineering and increase your chances of success in this field.

See salaries and explore the career path for Data Engineer

Database Administrator

This course may be useful for individuals interested in a career as a Database Administrator. It provides an introduction to data analysis with Python, which can enhance your ability to manage and analyze data stored in databases. The course covers topics like data cleaning, data manipulation, and data visualization, which are essential for maintaining and optimizing database systems.

See salaries and explore the career path for Database Administrator

Information Security Analyst

For aspiring Information Security Analysts, this course may be helpful as it introduces you to data analysis techniques using Python. You will learn how to use Python for data exploration, data visualization, and statistical analysis. This knowledge can be valuable in identifying and analyzing security threats, conducting risk assessments, and developing security solutions.

See salaries and explore the career path for Information Security Analyst

Software Engineer

This course may be useful for individuals interested in a career as a Software Engineer. It provides an introduction to data analysis with Python, which can enhance your ability to design and develop data-driven software applications. The course covers topics like data cleaning, data manipulation, and data visualization, which are essential for building software that can analyze and process data effectively.

See salaries and explore the career path for Software Engineer

Data Visualization Analyst

This course may be useful for individuals interested in a career as a Data Visualization Analyst. It introduces you to data analysis techniques using Python, with a focus on data visualization. You will learn how to use Python to create clear and informative visualizations that communicate data insights effectively. This knowledge can be valuable in roles that require the ability to translate data into visual representations.

See salaries and explore the career path for Data Visualization Analyst

Market Research Analyst

This course may be useful for individuals interested in a career as a Market Research Analyst. It provides an introduction to data analysis with Python, which can enhance your ability to analyze and interpret market research data. The course covers topics like data cleaning, statistical analysis, and data visualization, which are essential for understanding consumer behavior and market trends.

See salaries and explore the career path for Market Research Analyst

Operations Research Analyst

This course may be useful for individuals interested in a career as an Operations Research Analyst. It introduces you to data analysis techniques using Python, with a focus on optimization. You will learn how to use Python to develop and solve optimization models that can help improve decision-making in various industries.

See salaries and explore the career path for Operations Research Analyst

Financial Analyst

This course may be useful for individuals interested in a career as a Financial Analyst. It provides an introduction to data analysis with Python, which can enhance your ability to analyze and interpret financial data. The course covers topics like data cleaning, statistical analysis, and data visualization, which are essential for understanding financial trends and making sound investment decisions.

See salaries and explore the career path for Financial Analyst

Business Intelligence Analyst

This course may be useful for individuals interested in a career as a Business Intelligence Analyst. It introduces you to data analysis techniques using Python, with a focus on business intelligence. You will learn how to use Python to extract insights from data and develop dashboards and reports that can help businesses make informed decisions.

See salaries and explore the career path for Business Intelligence Analyst