Certificado profesional de Analista en datos de IBM

Unlock your potential in data analytics. Desarrolla habilidades listas para el trabajo para impulsar tu carrera profesional como analista de datos. No se requieren títulos profesionales ni experiencia previa.

Instructor:

Rav Ahuja, +8 more

Certificado profesional de Analista en datos de IBM banner image

4.6/5

12,377 calificaciones
117,585 ya están inscritas

4 meses

Menos de 10 horas de estudio por semana

Inglés (English)

Nivel principiante

No se requiere experiencia previa.

Obtener créditos

Parte de Bachelor of Applied Arts and Sciences

Desarrolla habilidades que te prepararán para el trabajo aprendiendo de los mejores

Comienza a capacitarte en el campo de gran demanda del análisis de datos con un certificado profesional de IBM. Aprende los principios fundamentales del análisis de datos y gana experiencia en la manipulación de datos mediante el uso de Python y Excel y la aplicación de técnicas de análisis y el trabajo con una variedad de fuentes de datos.

Títulos de trabajos comunes: Analista de datos, analista de datos asociado, analista de datos junior, analista financiero, analista de operaciones, técnico de datos, analista de rendimiento empresarial, analista de marketing

Informe de la organización de ofertas de empleo Lightcast™ (promedio de 0 a 2 años de experiencia), Estados Unidos, 1/9/21 - 1/9/22.
²Basado en las respuestas de la encuesta de resultados de estudiantes de Coursera, Estados Unidos, 2021.

$67 500
salario promedio de nivel básico¹

42 %
de los graduados con certificado comenzaron una nueva carrera profesional²

123 321
oportunidades de puestos de trabajo más demandados en análisis de datos¹

Habilidades que obtendrás

Microsoft Excel
Python Programming
Data Analysis
Data Visualization (DataViz)
SQL
Data Science
Spreadsheet
Pivot Table
IBM Cognos Analytics
Dashboard
Pandas
Numpy

Acerca de este certificado profesional

Gain the job-ready skills for an entry-level data analyst role through this Professional Certificate from IBM and position yourself competitively in the thriving job market for data analysts, which will see a 20% growth until 2028 (U.S. Bureau of Labor Statistics).

Power your data analyst career by learning the core principles of data analysis and gaining hands-on skills practice. You’ll work with a variety of data sources, project scenarios, and data analysis tools, including Excel, SQL, Python, Jupyter Notebooks, and Cognos Analytics, gaining practical experience with data manipulation and applying analytical techniques.

This Professional Certificate does not require any prior programming or statistical skills, and is suitable for learners with or without college degrees. All you need to get started is basic computer literacy, high school math, comfort working with numbers, willingness to learn, and a desire to enrich your profile with valuable skills.

Upon successful completion of this program, you’ll have analyzed real-world datasets, created interactive dashboards, and presented reports to share your findings, giving you the confidence and the portfolio to begin a career as an associate or junior data analyst. You’ll also build the foundation for other data disciplines such as data science or data engineering.

This program is ACE® recommended—when you complete, you can earn up to 12 college credits.

Proyecto de aprendizaje aplicado

Throughout the program, you’ll complete hands-on projects and labs and gain a firm grasp on the required technical skills to effectively gather, wrangle, mine, and visualize data, as well as the soft skills for working with stakeholders and storytelling with data to engage your audience. Projects

Import, clean, and analyze fleet vehicle inventory with Excel pivot tables.
Use car sales key performance indicator (KPI) data to create an interactive dashboard with visualizations.
Extract and graph financial data with the Pandas data analysis Python library.
Use SQL to query census, crime, and school demographic data sets.
Wrangle data, graph plots, and create regression models to predict housing prices with data science Python libraries.
Create a dynamic Python dashboard to monitor, report, and improve US domestic flight reliability.

At the end of the program, you complete a real-world capstone project specifically designed to showcase your newly learned data analyst skills.

Qué aprenderás

Demonstrate proficiency in using spreadsheets and utilizing Excel to perform a variety of data analysis tasks like data wrangling and data mining
Create various charts and plots in Excel & work with IBM Cognos Analytics to build dashboards. Visualize data using Python libraries like Matplotlib
Develop working knowledge of Python language for analyzing data using Python libraries like Pandas and Numpy, and invoke APIs and Web Services
Describe data ecosystem and Compose queries to access data in cloud databases using SQL and Python from Jupyter notebooks

¿Qué es un certificado profesional?

Desarrolla las habilidades necesarias para completar el trabajo

Ya sea que desees comenzar una nueva carrera o cambiar tu carrera actual, los certificados profesionales de Coursera te ayudan a prepararte para el puesto. Aprende a tu propio ritmo, en el momento y el lugar que te resulten más cómodos. Inscríbete hoy mismo y descubre una nueva carrera con una prueba gratuita de 7 días. Puedes pausar tus clases o finalizar la suscripción en cualquier momento.

Proyectos prácticos

Aplica tus habilidades en proyectos prácticos y desarrolla una cartera que demuestre tu preparación para los trabajos a los posibles empleadores. Deberás terminar los proyectos correctamente para obtener tu certificado.

Obtén una credencial profesional

Cuando completas todos los cursos del programa, obtienes un certificado que puedes compartir con tu red profesional, así como acceso a los recursos de apoyo profesional que te ayudarán a comenzar tu nueva carrera. Muchos certificados profesionales tienen socios interesados en contratar personal que reconocen la credencial del certificado profesional, y otros pueden ayudarte en tu preparación para el examen de un certificado. Puedes ver más información en las páginas del certificado profesional particular en donde aplica.

Hay 9 cursos en este Certificado profesional

Curso1

Curso 1

Introducción al análisis de datos

4.8

estrellas

10,696 calificaciones

Ready to start a career in Data Analysis but don’t know where to begin? This course presents you with a gentle introduction to Data Analysis, the role of a Data Analyst, and the tools used in this job. You will learn about the skills and responsibilities of a data analyst and hear from several data experts sharing their tips & advice to start a career. This course will help you to differentiate between the roles of Data Analysts, Data Scientists, and Data Engineers.

You will familiarize yourself with the data ecosystem, alongside Databases, Data Warehouses, Data Marts, Data Lakes and Data Pipelines. Continue this exciting journey and discover Big Data platforms such as Hadoop, Hive, and Spark. By the end of this course you’ll be able to understand the fundamentals of the data analysis process including gathering, cleaning, analyzing and sharing data and communicating your insights with the use of visualizations and dashboard tools. This all comes together in the final project where it will test your knowledge of the course material, and provide a real-world scenario of data analysis tasks. This course does not require any prior data analysis, spreadsheet, or computer science experience.

Curso2

Curso 2

Aspectos básicos de Excel para el análisis de datos

4.8

estrellas

5,247 calificaciones

Spreadsheet tools like Excel are an essential tool for working with data - whether for data analytics, business, marketing, or research. This course is designed to give you a basic working knowledge of Excel and how to use it for analyzing data.

This course is suitable for those who are interested in pursuing a career in data analysis or data science, as well as anyone looking to use Excel for data analysis in their own domain. No prior experience with spreadsheets or coding is required - all you need is a device with a modern web browser and the ability to create a Microsoft account to access Excel online at no cost. If you have a desktop version of Excel, you can also easily follow along with the course. Throughout this course, you'll gain valuable experience working with data sets and spreadsheets. We'll start by introducing you to spreadsheets like Microsoft Excel and Google Sheets, and show you how to load data from multiple formats. From there, you'll learn how to perform basic data wrangling and cleansing tasks using functions, and expand your knowledge of data analysis through the use of filtering, sorting, and pivot tables. There is a strong focus on practice and applied learning in this course. With each lab, you'll have the opportunity to manipulate data and gain hands-on experience using Excel. You'll learn how to clean and format your data efficiently, and convert it into a pivot table to make it more organized and readable. The final project will allow you to showcase your newly acquired data analysis skills by working with real data sets and spreadsheets. By the end of this course, you'll have a solid foundation in using Excel for data analysis. You'll have worked with multiple data sets and spreadsheets, and will have the skills and knowledge needed to effectively clean and analyze data without having to learn any code. So let's get started!

Curso3

Curso 3

Visualización de datos y paneles principales con Excel y Cognos

4.7

estrellas

2,541 calificaciones

Learn how to create data visualizations and dashboards using spreadsheets and analytics tools. This course covers some of the first steps for telling a compelling story with your data using various types of charts and graphs. You'll learn the basics of visualizing data with Excel and IBM Cognos Analytics without having to write any code.

You'll start by creating simple charts in Excel such as line, pie and bar charts. You will then create more advanced visualizations with Treemaps, Scatter Charts, Histograms, Filled Map Charts, and Sparklines. Next you’ll also work with the Excel PivotChart feature as well as assemble several visualizations in an Excel dashboard. This course also teaches you how to use business intelligence (BI) tools like Cognos Analytics to create interactive dashboards. By the end of the course you will have an appreciation for the key role that data visualizations play in communicating your data analysis findings, and the ability to effectively create them. Throughout this course there will be numerous hands-on labs to help you develop practical experience for working with Excel and Cognos. There is also a final project in which you’ll create a set of data visualizations and an interactive dashboard to add to your portfolio, which you can share with peers, professional communities or prospective employers.

Curso4

Curso 4

Python para ciencia de los datos, IA y desarrollo

4.6

estrellas

31,104 calificaciones

Kickstart your learning of Python with this beginner-friendly self-paced course taught by an expert. Python is one of the most popular languages in the programming and data science world and demand for individuals who have the ability to apply Python has never been higher.

This introduction to Python course will take you from zero to programming in Python in a matter of hours—no prior programming experience necessary! You will learn about Python basics and the different data types. You will familiarize yourself with Python Data structures like List and Tuples, as well as logic concepts like conditions and branching. You will use Python libraries such as Pandas, Numpy & Beautiful Soup. You’ll also use Python to perform tasks such as data collection and web scraping with APIs. You will practice and apply what you learn through hands-on labs using Jupyter Notebooks. By the end of this course, you’ll feel comfortable creating basic programs, working with data, and automating real-world tasks using Python. This course is suitable for anyone who wants to learn Data Science, Data Analytics, Software Development, Data Engineering, AI, and DevOps as well as a number of other job roles.

Instructores

Ofrecido por

Habilidades en redes de IBM

IBM is the global leader in business transformation through an open hybrid cloud platform and AI, serving clients in more than 170 countries around the world. Today 47 of the Fortune 50 Companies rely on the IBM Cloud to run their business, and IBM Watson enterprise AI is hard at work in more than 30,000 engagements. IBM is also one of the world’s most vital corporate research organizations, with 28 consecutive years of patent leadership. Above all, guided by principles for trust and transparency and support for a more inclusive society, IBM is committed to being a responsible technology innovator and a force for good in the world.

Obtén crédito para tu título de grado

Después de completar este certificado, puedes obtener créditos universitarios cuando seas admitido en Bachelor of Applied Arts and Sciences de University of North Texas.

Bachelor of Applied Arts and Sciences

University of North Texas

Preguntas Frecuentes

¿Cuál es la política de reembolsos?
Si estás suscrito, obtienes una prueba gratis de 7 días, que podrás cancelar cuando desees sin ningún tipo de penalidad. Una vez transcurrido ese tiempo, no realizamos reembolsos. No obstante, puedes cancelar tu suscripción cuando quieras. Consulta nuestra política completa de reembolsos.
¿Puedo inscribirme en un solo curso?
¡Sí! Para empezar, haz clic en la tarjeta del curso que te interesa e inscríbete. Puedes inscribirte y completar el curso para obtener un certificado que puedes compartir o puedes acceder al curso como oyente para ver los materiales del curso de manera gratuita. Cuando te suscribes a un curso que forma parte de un Certificado, te suscribes automáticamente a todo el Certificado. Visita el panel del estudiante para realizar un seguimiento de tu progreso.
¿Este curso es 100 % en línea? ¿Necesito asistir a alguna clase en persona?
Este curso es completamente en línea, de modo que no necesitas ir a un aula en persona. Puedes acceder a tus lecciones, lecturas y tareas en cualquier momento y cualquier lugar a través de Internet o tu dispositivo móvil.
What is data analysis?
Data analysis involves gathering, cleaning, organizing, modelling, and visualizing data with the goal of extracting helpful insights that can inform decision-making.
What jobs can I get with data analytics skills?
Data analytics skills will prove valuable in any profession. As data analytics technology develops, organizations across fields are increasingly using data to inform decision-making. This program will provide you with all the skills needed for an entry-level Data Analyst role, and will provide a strong foundation for future career development in other paths such as data science or data engineering.
How long does it take to complete the Professional Certificate?
This is a self-paced Professional Certificate that you can complete on your own schedule. Working 10-12 hours a week, you could complete the entire program in just 3 months. If working part time with just 2-3 hours per week, it can take up to 9 months.
What background knowledge is necessary?
No specialized background or degree is needed. However, you are expected to have basic computer literacy, high-school level mathematics, and be comfortable working with numbers.
Do I need to take the courses in a specific order?
It is highly recommended to complete the courses in the order they are listed, as they build upon concepts in the previous courses.
What will I be able to do upon completing the Professional Certificate?
Upon completing this Professional Certificate, you will be armed with the skills and knowledge to start an entry level role in Data Analytics. You can also apply your newly-acquired analytical skills to enrich your current career in a variety of industries including banking, accounting, and IT and functions such as marketing, finance, and research.
Data analytics skills are also valuable as an entry point to other data-related professions such as Data Science, Data Engineering, and Business Analytics.
Can I get college credit for taking the IBM Data Analyst Professional Certificate?
Yes. The IBM Data Analyst Professional Certificate recently secured a credit recommendation from the American Council on Education's (ACE) Credit Recommendation, which is the industry standard for translating workplace learning to college credit. Learners can earn a recommendation of 12 college credits for completing the program. This aims to help open up additional pathways to learners who are interested in higher education and prepare them for entry-level jobs.
How do you share your proof of completion with the educational institutions for transferring credit?
To share proof of completion with schools, certificate graduates will receive an email prompting them to claim their Credlybadge, which contains the ACE®️credit recommendation. Once claimed, you will receive a competency-based transcript that signifies the credit recommendation, which can be shared directly with a school from the Credly platform. Please note that the decision to accept specific credit recommendations is up to each institution and is not guaranteed.
Where can I find more information on ACE credit recommendations?
Please see Coursera’s ACE Recommendations FAQ.

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Certificado profesional de Analista en datos de IBM

Desarrolla habilidades que te prepararán para el trabajo aprendiendo de los mejores

Habilidades que obtendrás

Acerca de este certificado profesional