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Description

Leverage ChatGPT's Advanced Data Analysis Code Interpreter to outpace competitors in a rapidly evolving landscape.
Today, ChatGPT is the most exciting office productivity tool globally. Unsurprisingly, the demand for professionals navigating this software has been surging exponentially.
The Problem
It’s challenging to acquire practical skills that will teach you how to leverage ChatGPT and AI at work. Most ChatGPT courses focus on generic prompt engineering and cannot build the bridge between basic prompting and practical implementation that will boost your productivity on the job.
The Solution
This Data Analysis with ChatGPT course teaches you how to effectively utilize ChatGPT for data analysis throughout the entire data analysis lifecycle:
Exploratory Data Analysis (EDA)
Data preprocessing
Data analysis
Data visualization
Data interpretation
Each topic seamlessly builds upon the previous one, and the practical example that unfolds throughout the course allows you to see the bigger picture and understand how ChatGPT can help you in a real-world working environment.
Data Analysis with ChatGPT in Excel
Excel is the world’s most popular office productivity and data analysis tool. We’ll use Excel files to input data to ChatGPT and evaluate its output. The same principles apply if you use other tools like Python, R, Tableau, and Power BI for data analysis.
Why Take the Course?
A common social media statement declares, ‘’AI won’t replace you, but those embracing AI will,” underscoring the need to welcome change. Progress and new technologies are unstoppable, so we must adapt and boost productivity with available, effective tools
Prompt engineering in AI tools like ChatGPT shows remarkable promise in the data analysis field. Once you become familiar with its capabilities, you’ll appreciate that ChatGPT democratizes data analysis and makes it easier for individuals unfamiliar with Python or advanced Excel modeling. In the next few years, all productivity tools will rapidly shift towards AI.
Embrace AI-driven data analysis in your workplace as an early adopter with a 30-day money-back guarantee, transforming your career with sought-after skills.
So, what are you waiting for?
Enroll today, and let’s start this transformational journey together.

Who this course is for:
Data analysts
Financial analysts
Aspiring data and financial analysts
Data scientists
Business executives
Anyone who wants to use AI for data analysis

What you'll learn

Perform exploratory data analysis (EDA)

Audit datasets for erroneous data

Deal with inconsistent data

Organize messy data

Perform data analysis tasks

Requirements

  • You will need a copy of Adobe XD 2019 or above. A free trial can be downloaded from Adobe.
  • No previous design experience is needed.
  • No previous Adobe XD skills are needed.

Course Content

27 sections • 95 lectures
Expand All Sections
1-Course introduction
1
1.1-Intro to the course and quick demo of ChatGPT Advanced Data Analysis
2-Overview of ChatGPT Advanced Data Analysis
3
2.1-How ChatGPT Advanced Data Analysis will boost your productivity
2.2-Is ChatGPT Advanced Data Analysis the killer of the data science profession?
2.3-The limitations of ChatGPT Advanced Data Analysis
3-Exploratory Data Analysis (EDA) with ChatGPT
5
3.1-Exploratory data analysis - intro
3.2-Extracting descriptive statistics with ChatGPT
3.3-Identifying outliers
3.4-Correlation analysis: Hypothesis formulation and feature ideas
3.5-Crafting a comprehensive EDA prompt
4-Preprocess data with ChatGPT - Deal with inconsistent data
5
4.1-Identifying and handling erroneous data
4.2-Verifying data for errors
4.3-Eliminating duplicate rows
4.4-Addressing unit discrepancies in data
4.5-Dividing cell content into multiple cells
5-Preprocess data with ChatGPT - Organize messy data
4
5.1-Organize messy data
5.2-Data mapping
5.3-Effective data classification
5.4-Order data with ChatGPT
6-Preprocess data with ChatGPT - Working with functions
5
6.1-COUNTIFS, SUMIFS
6.2-Data lookup
6.3-Data ranking
6.4-Fill until non-blank values
6.5-Translating logic into Excel formulas with ChatGPT
7-Preprocess data with ChatGPT - Clean text data
7
7.1-Correcting inverted names
7.2-Dealing with trailing and leading spaces in text data
7.3-Standardizing letter capitalization
7.4-Handling multi-lingual text data
7.5-Multiple "Find and Replace" at the same time with ChatGPT
7.6-Criteria-based duplicate removal
7.7-Removing duplicates across multiple columns
8-Preprocess data with ChatGPT - Dates and time data
4
8.1-Obtain day and month from date
8.2-Converting hours to decimals
8.3-Obtaining age in years, months, days
8.4-Order dates chronologically
9-Complete practical example
5
9.1-Intro to the exercise and preprocessing ideas from ChatGPT
9.2-Preprocessing the 'Free plan users' sheet (1/2)
9.3-Preprocessing the 'Free plan users' sheet (2/2)
9.4-Working on the 'Transactions' sheet
9.5-Dealing with the country mapping issue