Data Consultancy Toolkit

The Data Consultancy Toolkit course covers data-related topics and requires basic data science knowledge, programming familiarity, and participation.

Intermediate

Difficulty

2.5

Hours per week

8

Live Sessions

Jul 31, 2023

Next Date

Objective

During this 4-week Data Consultancy Toolkit course is to provide participants with a comprehensive understanding of the tools and techniques used in data consultancy. The course covers various topics, including an introduction to data consultancy, data collection and management, data governance, data analysis for executives, communication and presentation, and ethics and legal considerations. At the end of the course, participants will have a good understanding of the tools and techniques used in data consultancy and will be able to apply them in real-world scenarios.

Requeriments

  • Basic understanding of data science concepts
  • Familiarity with programming languages such as Python or R
  • Access to a computer with internet connection
  • Willingness to learn and participate in class discussions and group projects
  • Commitment to attend all sessions and complete all assignments on time

Syllabus

1
Introduction to Data Consultancy

This section will introduce the concept of data consultancy and its applications in various industries. Participants will learn about the role of a data consultant, the skills required to become one, and the various types of data consultancy.

2
Data Collection and Management

This section will cover the processes involved in collecting and managing data. Participants will learn about data sources, data collection methods, data cleaning, and data storage.

3
Data Governance

This section will cover the processes involved in data governance. Participants will learn about data governance frameworks, data policies, data standards, data quality, and data lineage.

4
Data Analysis for Executives

This section will provide an overview of data analysis techniques used in data consultancy. Participants will learn about data visualization, exploratory data analysis, and statistical analysis.

5
Communication and Presentation

This section will focus on the communication skills required in data consultancy. Participants will learn about effective communication techniques, data storytelling, and data presentation.

Mentor

Zuriel Cevada

Zuriel Cevada

Zuriel Cevada Anaya is a co-founder and CTO with skills in Python, Machine Learning, Consulting, and AWS.

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