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