Comienza tu carrera en ciencia de los datos. Master strategies to implement Data Science techniques in order to solve business problems.

4.9

estrellas

11 calificaciones

Sarah Haq +2 instructores más

ofrecido por

Certificado profesional de Profesional en Ciencia de los Datos con certificación CertNexusCertNexus

Qué aprenderás

Communicate results of a model via web apps, and implement an d test pipelines that automate the model training, tuning and deployment process.

Habilidades que obtendrás

Data Manipulation
Machine Learning
Data Analysis
Extraction, Transformation And Loading (ETL)
Data Model
Data-Informed Decision-Making
Scope (Project Management)
Business Process
Cleaning
Data Mining
Data Insight
Dissemination

Acerca de este Certificado profesional

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The field of Data Science has topped the Linked In Emerging Jobs list for the last 3 years with a projected growth of 28% annually and the World Economic Forum lists Data Analytics and Scientists as the top emerging job for 2022. Data can reveal insights and inform business—by guiding decisions and influencing day-to-day operations. This specialization will teach learners how to analyze, understand, manipulate, and present data within an effective and repeatable process framework and will enable you to bring value to the business by putting data science concepts into practice. This course is designed for business professionals that want to learn how to more effectively extract insights from their work and leverage that insight in addressing business issues, thereby bringing greater value to the business. The typical student in this course will have several years of experience with computing technology, including some aptitude in computer programming. Certified Data Science Practitioner (CDSP) will prepare learners for the CertNexus CDSP certification exam. To complete your journey to the CDSP Certification Complete the Coursera Certified Data Science Practitioner Professional Certificate. Review the CDSP Exam Blueprint. Purchase your CDSP Exam Voucher. Register for your CDSP Exam.

Proyecto de aprendizaje aplicado

At the conclusion of each course, learners will have the opportunity to complete a project which can be added to their portfolio of work. Projects include:

Address a Business Issue with Data Science

Extract, Transform, and Load Data

Data Analysis

Training a Machine Learning Model

Presenting a Data Science Project

Certificado para compartir

Obtén un certificado al finalizar

Cursos 100 % en línea

Comienza de inmediato y aprende a tu propio ritmo.

Cronograma flexible

Establece y mantén fechas de entrega flexibles.

Nivel intermedio

The typical learner will have several years of experience with computing technology, including some aptitude in computer programming.

Aproximadamente 6 meses para completarse

Ritmo sugerido de 4 horas/semana

Inglés (English)

Subtítulos: Inglés (English)

Certificado para compartir

Obtén un certificado al finalizar

Cursos 100 % en línea

Comienza de inmediato y aprende a tu propio ritmo.

Cronograma flexible

Establece y mantén fechas de entrega flexibles.

Nivel intermedio

The typical learner will have several years of experience with computing technology, including some aptitude in computer programming.

Aproximadamente 6 meses para completarse

Ritmo sugerido de 4 horas/semana

Inglés (English)

Subtítulos: Inglés (English)

¿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 5 cursos en este Certificado profesional

Curso1

Curso 1

Address Business Issues with Data Science

This course is designed for business professionals that want to learn how to determine if a business issue is appropriate for a data science project and apply the data science process.

Curso2

Curso 2

Extract, Transform, and Load Data

This course is designed for business and data professional seeking to learn the first technical phase of the data science process known as Extract, Transform and Load or ETL.

Learners will be taught how to collect data from multiple sources so it is available to be transformed and cleaned and then will dive into collected data sets to prepare and clean data so that it can later be loaded into its ultimate destination. In the conclusion of the course learners will load data into its ultimate destination so that it can be analyzed and modeled. The typical student in this course will have experience working with data and aptitude with computer programming.

Curso3

Curso 3

Analyze Data

This course is designed for business professionals that want to learn how to analyze data to gain insight, use statistical analysis methods to explore the underlying distribution of data, use visualizations such as histograms, scatter plots, and maps to analyze data and preprocess data to produce a dataset ready for training.

Curso4

Curso 4

Train Machine Learning Models

This course is designed for business professionals that wish to identify basic concepts that make up machine learning, test model hypothesis using a design of experiments and train, tune and evaluate models using algorithms that solve classification, regression and forecasting, and clustering problems.

Instructores

ofrecido por

CertNexus

CertNexus is a vendor-neutral certification body, providing emerging technology certifications and micro-credentials for Business, Data, Development, IT, and Security professionals. CertNexus’ exams meet the most rigorous development standards possible which outlines a global framework for developing personnel certification programs to narrow the widening skills gap.

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.
¿Cuánto tiempo se necesita para completar un programa especializado?
It will take learners 5 months with an average of 2 hours per week learning time. Learners can complete the specialization in shorter length of time by spending more time per week.
What background knowledge is necessary?
Learners should have a high-level understanding of fundamental data science concepts, including, but not limited to: types of data, data science roles, the overall data science lifecycle, and the benefits and challenges of data science. You can obtain this level of knowledge by taking the CertNexus DSBIZ™ (Exam DSZ-110) course.
You should have also have experience with high-level programming languages like Python. Being comfortable using fundamental Python data science libraries like NumPy and pandas is highly recommended. Experience working with databases, including querying languages like SQL is recommended.
Do I need to take the courses in a specific order?
It is recommended that learners take the course in order.
¿Recibiré crédito universitario por completar el programa especializado?
Please contact your university to check for eligible credits.
What will I be able to do upon completing the Specialization?
Upon completion learners will be prepared to take the CDSP (DSP) exam offered on Pearson VUE by CertNexus. For more information and to purchase exam vouchers visit https://store.certnexus.com/index.php/cdsp-exam-voucher.html

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