Course

AI for Data Analysis - Coming Soon

6 credits

Fundamentals

IMPORTANT: Payment for the course can be made only at MPESA. Your payment will be processed within 1 business day. After this you will receive access to the course recourses and a confirmation email.
• Paybill: 625625
• Account Number: 7718261883-KES
• Account Name: SOFTUNI KENYA LIMITED

The course provides in-depth knowledge and practical skills about the use of artificial intelligence (AI) in data analysis and processing. Participants will learn how to analyze documents, tables, and financial data using AI tools such as ChatGPT, Claude, Gemini, and more. The course covers techniques for grouping, visualization and statistical analysis of data, as well as working with various file formats (Excel, CSV, JSON).

Skills which you will acquire

Analyze documents, contracts, emails, and other texts using AI tools
Work with data in Excel, CSV, and JSON formats, including filtering, grouping, and aggregation
Data visualization through graphs and charts (column chart, bar chart, pie chart, etc.)
Application of AI for statistical and financial analysis, including transforming and cleaning data

Topics

Resources
Resources

No description yet

Resources

There are no resources for this lecture yet
AI Document Analysis: Part 1
AI Document Analysis: Part 1

• How are contracts, emails, customer conversations, and books analyzed using AI?;
• Basic approaches to effective document analysis;
• Practical application of ChatGPT for document analysis with examples;
• Document analysis demonstrations with Claude and real-world examples;
• Examples of using Gemini to process and analyze different types of text.

Resources

There are no resources for this lecture yet
AI Document Analysis: Part 2
AI Document Analysis: Part 2

• How to analyze documents with NotebookLM and real examples?;
• Work with DocAnalyser AI for detailed analysis of text files;
• Using Sider AI to work with PDF documents and AI document assistant;
• AI tools for managing email boxes, including SpikeNow;
• Comparison of ChatGPT, Gemini, Claude, and NotebookLM in terms of accuracy, volume, and price.

Resources

There are no resources for this lecture yet
Live Session - Q&A
Live Session - Q&A

• Live Q&A lecture where participants can get further clarification and guidance.

Resources

There are no resources for this lecture yet
Introduction to Data Analytics
Introduction to Data Analytics

• What is data analytics and how is it applied in different contexts?;
• Using ChatGPT Advanced Data Analysis for data processing;
• Working with the Claude Analysis Tool for effective data analysis;
• Loading data into ChatGPT: Excel, CSV and JSON files;
• ChatGPT application for table processing and exporting results;
• Aggregate data with functions such as sum, average, unique values, and more;
• Filtering data by text, numerical ranges and dates;
• Grouping data by time and categories for detailed analysis.

Resources

There are no resources for this lecture yet
Data Grouping and visualization
Data Grouping and visualization

• How to visualize data with graphs such as column, line and area diagrams?;
• Calculation of percentages and visualization with pie and donut charts;
• Create current amounts, rank, and difference for in-depth analysis.

Resources

There are no resources for this lecture yet
Statistical Financial Analysis
Statistical Financial Analysis

• Fundamentals of statistical analysis and its application;
• Work with statistical visualizations such as histograms, box plot and scatter plot;
• Transform and clear data for better accuracy;
• Analysis of financial data and key metrics;
• Summary and conclusions from statistical and financial analysis.

Resources

There are no resources for this lecture yet
Live Session - Q&A + Exam Preparation
Live Session - Q&A + Exam Preparation

• Live Q&A lecture where participants can get further clarifications and guidance and prepare for the exam.

Resources

There are no resources for this lecture yet
Regular exam
Regular exam
- Practical design
Resources

There are no resources for this lecture yet

Who is the target audience for the course?

The course is suitable for professionals who want to improve their skills in data and document analysis using artificial intelligence. It is ideal for analysts, financiers, HR specialists, and anyone who works with large volumes of information and wants to automate their processes.

How to enroll in the course?

To sign up for the course, click the ENROLL button and follow the steps. Registration will be processed within 1 business day and access to resources and lectures granted

What is the deadline for enrolling in the course and when does it start?

Enrollment in the course is currently open. The training will start in 25th August 2025. You will find a detailed schedule of classes in the Topics section when the enrollment is open.

How and where are the classes be held?

You can study online in real time. Immediately after each lesson, you also get access to the lesson recording and learning resources.

What is the date of the exam and what does it include?

The exam will be held online and includes practical exercises. The dates of the exam will be 17th September 2025.

Do I get a certificate after the exam?

After passing the exam, you acquire a certificate issued by SoftUni if your score is above 60%.