Professional Certificate in Data Analytics for Journalists

Name: Professional Certificate in Data Analytics for Journalists
Availability: InStock

-- viendo ahora

The Professional Certificate in Data Analytics for Journalists is a crucial course designed to equip journalists with essential data analysis skills in high demand in today's digital era. This program bridges the gap between data science and journalism, providing learners with the necessary tools to extract insights from data and communicate them effectively to the public.

4,0

Based on 3.277 reviews

5.885+

Students enrolled

GBP £ 140

GBP £ 202

Save 44% with our special offer

Start Now

Acerca de este curso

By mastering concepts such as data cleaning, visualization, and statistical analysis, learners can enhance their storytelling abilities and advance their careers in the ever-evolving media landscape. According to the Bureau of Labor Statistics, employment of journalists is projected to grow 6% from 2021 to 2031. With the increasing importance of data in journalism, professionals with data analysis skills will have a competitive edge in the job market. This certificate course is an excellent opportunity for journalists, communications professionals, and anyone interested in data-driven storytelling to gain practical skills and excel in their careers.

HundredPercentOnline

LearnFromAnywhere

ShareableCertificate

AddToLinkedIn

TwoMonthsToComplete

AtTwoThreeHoursAWeek

StartAnytime

Sin período de espera

Detalles del Curso

• Introduction to Data Analytics · Understanding the basics of data analytics, its importance in journalism, and how to use data to tell compelling stories.
• Data Collection · Learning various data collection methods, including web scraping, public databases, and APIs.
• Data Cleaning · Techniques for cleaning and preparing data for analysis, covering data wrangling, validation, and standardization.
• Data Analysis with Python · Mastering the use of Python libraries, such as Pandas and NumPy, to perform data analysis.
• Data Visualization with Python · Creating engaging visualizations using Python libraries, such as Matplotlib and Seaborn.
• Statistical Analysis · Understanding fundamental statistical concepts and techniques, such as descriptive and inferential statistics.
• Storytelling with Data · Learning how to effectively communicate data insights to various audiences, incorporating data visualization and narrative techniques.
• Ethics in Data Journalism · Exploring ethical considerations in data journalism, including data privacy and informed consent.
• Advanced Data Analysis · Diving into advanced data analysis techniques, such as machine learning, predictive modeling, and data mining.
• Capstone Project · Implementing the skills acquired throughout the course in a real-world data journalism project, under the guidance of an experienced mentor.

Trayectoria Profesional

The **Professional Certificate in Data Analytics for Journalists** is designed for journalists looking to expand their skillset to include data analysis, helping them stay relevant in the ever-evolving media landscape. This program covers a range of industry-relevant roles, including data analyst, data scientist, journalist, and business intelligence developer. In the UK, these roles showcase strong job market trends and varying salary ranges, making data analytics an attractive field for journalists seeking new opportunities. The demand for skills related to data analytics has been increasing, as more organizations rely on data-driven insights to make informed decisions. The 3D pie chart above displays the percentage distribution of these roles, representing the versatility and demand for data analytics skills in the journalism industry. As businesses and media outlets continue to recognize the value of data analytics, journalism professionals can benefit from learning these valuable skills. With the **Professional Certificate in Data Analytics for Journalists**, individuals can take advantage of the growing need for data-savvy professionals and enhance their career prospects in the dynamic world of journalism.

Requisitos de Entrada

Comprensión básica de la materia
Competencia en idioma inglés
Acceso a computadora e internet
Habilidades básicas de computadora
Dedicación para completar el curso

No se requieren calificaciones formales previas. El curso está diseñado para la accesibilidad.

Estado del Curso

Este curso proporciona conocimientos y habilidades prácticas para el desarrollo profesional. Es:

No acreditado por un organismo reconocido
No regulado por una institución autorizada
Complementario a las calificaciones formales

Recibirás un certificado de finalización al completar exitosamente el curso.

Por qué la gente nos elige para su carrera

Cargando reseñas...

Preguntas Frecuentes

¿Qué hace que este curso sea único en comparación con otros?

▼

¿Cuánto tiempo toma completar el curso?

▼

WhatSupportWillIReceive

▼

IsCertificateRecognized

▼

WhatCareerOpportunities

▼

¿Cuándo puedo comenzar el curso?

▼

¿Cuál es el formato del curso y el enfoque de aprendizaje?

▼

Tarifa del curso

MÁS POPULAR

Vía Rápida: GBP £140

Completa en 1 mes

Ruta de Aprendizaje Acelerada

3-4 horas por semana
Entrega temprana del certificado
Inscripción abierta - comienza cuando quieras

Start Now

Modo Estándar: GBP £90

Completa en 2 meses

Ritmo de Aprendizaje Flexible

2-3 horas por semana
Entrega regular del certificado
Inscripción abierta - comienza cuando quieras

Start Now

Lo que está incluido en ambos planes:

Acceso completo al curso
Certificado digital
Materiales del curso

Precio Todo Incluido • Sin tarifas ocultas o costos adicionales

Obtener información del curso

Pagar como empresa

Solicita una factura para que tu empresa pague este curso.

Pagar por Factura

Obtener un certificado de carrera

PROFESSIONAL CERTIFICATE IN DATA ANALYTICS FOR JOURNALISTS

se otorga a

Nombre del Aprendiz

quien ha completado un programa en

London School of International Business (LSIB)

Otorgado el

05 May 2025

ID de Blockchain: s-1-a-2-m-3-p-4-l-5-e

Agrega esta credencial a tu perfil de LinkedIn, currículum o CV. Compártela en redes sociales y en tu revisión de desempeño.