Modern Data Wrangling with AI and Python
Learn how to streamline your data processing and analysis with the power of AI and Python. From beginner to pro.
Updated on May, 2024
Language - English
Data & Analytics,Python,Artificial Intelligence,Data Analytics,Data Modeling,
Lectures -180
Duration -3.5 hours
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Course Description
Welcome to 'Modern Data Wrangling with AI and Python: From Beginner to Pro.' This comprehensive course equips participants with essential skills to efficiently wrangle and manipulate data using Python and cutting-edge AI techniques.
Mastering data wrangling is crucial for successful decision-making, predictive modelling, and gaining insights in today's data-driven world. This course takes learners from basic data wrangling to advanced AI-powered manipulation, fostering proficiency in the field.
The course begins by installing necessary modern tools, and swiftly transitioning to data exploration through immediate coding and theoretical comprehension.
Topics covered include structured data, unstructured data (e.g., working with PDFs), semi-structured data, and web services/APIs. The course emphasizes making data more useful, followed by data cleaning, enrichment, validation, and concluding with data publishing.
With over 180 videos, this course ensures comprehensive understanding, making you proficient in data wrangling upon completion.
Goals
What will you learn in this course:
- Use AI and Python to increase the effectiveness of performing data-related tasks
- Employ data wrangling to get to the answers, latent in data, quicker and more accurately
- Reduce the complexity and tedium of maintaining data products, such as adding new rows to a spreadsheet
- Publish work done on data for other users to consume
- Move from being frustrated with the limitations of spreadsheets to using Python with confidence
- Understand the importance and benefits of data wrangling as part of the data lifecycle
Prerequisites
What are the prerequisites for this course?
- Data professionals, such as accountants and analysts, who want to learn about data wrangling
- Data professionals who want to use AI to increase their productivity level significantly
- Anyone curious about AI and how it can be used in the real world, right now
Curriculum
Check out the detailed breakdown of what’s inside the course
Welcome
5 Lectures
-
Welcome to the course
01:38
01:38
-
Meet Gerhard
00:54
00:54
-
Is this course for you?
01:01
01:01
-
What will you get out of this course?
01:35
01:35
-
What's in this course?
03:28
03:28
Getting Started
14 Lectures
Data Exploration - What can you tell me about the data?
11 Lectures
Enough Python to start your journey
7 Lectures
My journey to data wrangling
1 Lectures
Structured data - Tables
9 Lectures
More on Python - Functions, properties and some other goodies
16 Lectures
Unstructured Data
14 Lectures
Web services or Application Programming interfaces
14 Lectures
Lists, dictionaries and data types in Python
13 Lectures
How to make data useful - Structuring
17 Lectures
How do I clean data?
15 Lectures
Enrichment - how to make data valuable
17 Lectures
Validation - making sure the data is correct
12 Lectures
Publishing - querying, sharing and presenting data
13 Lectures
Conclusion
2 Lectures
Instructor Details
Gerhard van Deventer
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