In this course, you’ll learn to harness the volume & complexity of information to help businesses make better decisions. This is data analytics, and it powers insights across almost every industry, even ones you might not think of: from fashion and government, to tech, sports and healthcare.



Data Analytics Foundations
Ce cours fait partie de DeepLearning.AI Data Analytics Certificat Professionnel

Instructeur : Sean Barnes
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(32 avis)
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Il y a 4 modules dans ce cours
This module introduces key concepts in data analytics, focusing on data types, formats, roles, and the ecosystem surrounding data. It explores various data representations, differentiates between types of data, and introduces common data file formats. Additionally, it delves into the responsibilities of different data roles and career opportunities in the field. The module also covers the strengths and weaknesses of large language models (LLMs) and their applications in data analytics.
Inclus
20 vidéos7 lectures7 devoirs1 laboratoire non noté
This module provides a practical guide to using spreadsheets effectively, both in everyday life and in a business context. It covers the foundational skills needed to operate spreadsheets, particularly Google Sheets. You will explore various use cases, learn how to address different business problems with specific data types, and gain hands-on experience with essential spreadsheet tasks. It also includes a comparison of file types and their connection to structured and unstructured data, as well as techniques for organizing and analyzing data within spreadsheets.
Inclus
19 vidéos11 lectures5 devoirs1 laboratoire non noté
This module delves into the art of data visualization, a crucial skill for data analysts to effectively communicate insights and drive decision-making. You will learn the role of visualizations in data storytelling, explore various graph and chart types, and develop the ability to create and interpret visual data representations. The module emphasizes best practices for selecting the most appropriate visualization for different analyses. You will also look at using LLMs to help interpret and create data visualizations.
Inclus
17 vidéos7 lectures6 devoirs1 laboratoire non noté
This module provides a detailed exploration of the data analysis lifecycle, emphasizing the systematic approach required to turn raw data into actionable insights. You will learn about each stage of the lifecycle—from defining the problem to evaluating the effectiveness of decisions—and how to gather business context and stakeholder requirements to refine business questions. The module also covers the process of determining the appropriate type of analysis, the impact of domain knowledge, and tools like the Rumsfeld Matrix to ensure comprehensive analysis and decision-making.
Inclus
14 vidéos9 lectures6 devoirs1 laboratoire non noté
Instructeur

Offert par
Recommandé si vous êtes intéressé(e) par Data Analysis
DeepLearning.AI
University of London
University of Illinois Urbana-Champaign
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Avis des étudiants
32 avis
- 5 stars
90,90 %
- 4 stars
3,03 %
- 3 stars
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- 2 stars
3,03 %
- 1 star
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Affichage de 3 sur 32
Révisé le 11 avr. 2025
I love the lab features where you get to work with data directly, the instructor explained every concepts of data analysis very well, with visuals and good examples for easier understanding.
Révisé le 2 avr. 2025
Excellent course! Well structured and to the point. I've learned a lot from it.
Révisé le 23 mars 2025
Great Course!!. Enjoyed every part of it specifically the well curated excel practise labs

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