Coursera Instructor Network
Modern Data Analytics with Python, Excel & Generative AI Specialization
Coursera Instructor Network

Modern Data Analytics with Python, Excel & Generative AI Specialization

Elevate Data Analytics with Python, Excel, GenAI. Learn to integrate Python, Excel, and AI tools for enhanced data analysis

Caio Avelino
Arkadi Avanesyan
Starweaver

Instructors: Caio Avelino

Included with Coursera Plus

Get in-depth knowledge of a subject

(7 reviews)

Intermediate level

Recommended experience

1 month at 10 hours a week
Flexible schedule
Earn a career credential
Share your expertise with employers
Get in-depth knowledge of a subject

(7 reviews)

Intermediate level

Recommended experience

1 month at 10 hours a week
Flexible schedule
Earn a career credential
Share your expertise with employers

What you'll learn

  • Utilize Python and Excel for comprehensive data analyses

  • Automate tasks and insights generation using Generative AI.

  • Craft advanced data models to solve business challenges.

Overview

What’s included

Shareable certificate

Add to your LinkedIn profile

Taught in English
Recently updated!

August 2025

35 practice exercises

Advance your subject-matter expertise

  • Learn in-demand skills from university and industry experts
  • Master a subject or tool with hands-on projects
  • Develop a deep understanding of key concepts
  • Earn a career certificate from Coursera Instructor Network

Specialization - 12 course series

What you'll learn

Skills you'll gain

Exploratory Data Analysis, Generative AI, Data Visualization Software, Data-Driven Decision-Making, Artificial Intelligence, Responsible AI, Data Processing, Pandas (Python Package), Automation, OpenAI, and Descriptive Statistics

What you'll learn

Skills you'll gain

Data Ethics, Generative AI, Data Storytelling, Artificial Intelligence, Matplotlib, Seaborn, Responsible AI, Plotly, Automation, Interactive Data Visualization, Data Presentation, Data Visualization Software, and Prompt Engineering

What you'll learn

  • Apply the most widely used techniques, including Exponential Smoothing (ETS) and Autoregressive Integrated Moving Average (ARIMA).

  • Analyze real-world data to identify patterns and make accurate predictions.

  • Create advanced forecasting models using Python.

Skills you'll gain

Time Series Analysis and Forecasting, Forecasting, Business Analytics, Matplotlib, Data-Driven Decision-Making, Trend Analysis, Exploratory Data Analysis, Statistical Analysis, Advanced Analytics, Predictive Analytics, Strategic Decision-Making, and Pandas (Python Package)

What you'll learn

Skills you'll gain

Data Cleansing, Generative AI, Automation, Data Quality, Data Processing, Data Validation, Artificial Intelligence, Data Transformation, OpenAI, Tensorflow, Responsible AI, and Alteryx

What you'll learn

  • Master automated report generation with AI, and assess its real-world pros and cons.

  • Evaluate AI tools for report creation, and choose the best fit based on specific needs.

  • Learn to create tailored automated reports step-by-step with AI for efficient customization.

  • Assess how automated report generation enhances organizational efficiency, data accuracy, productivity, and decision-making.

Skills you'll gain

Data Analysis, Generative AI, Automation, Business Reporting, Artificial Intelligence, Data Collection, Digital Transformation, Business Process Automation, Operational Efficiency, AI Personalization, and Report Writing

What you'll learn

Skills you'll gain

Prompt Engineering, Data Analysis, Data-Driven Decision-Making, Data Validation, Analytical Skills, Natural Language Processing, LLM Application, ChatGPT, and OpenAI

What you'll learn

  • Analyze key concepts, processes, and frameworks of Business Intelligence.

  • Identify the principles of Data Warehouses.

  • Analyze data warehouse databases to improve decision-making.

  • Apply Data Visualization Tools to create interactive dashboards.

Skills you'll gain

Data Warehousing, Business Intelligence, Data Transformation, Data Visualization Software, Data Analysis, Interactive Data Visualization, Data-Driven Decision-Making, Dashboard, Data Management, Business Analytics, and Databases

What you'll learn

  • Construct and manipulate data structures using Pandas.

  • Analyze and visualize data sets to extract meaningful insights.

  • Evaluate and apply advanced data analysis techniques such as time series analysis and data aggregation.

Skills you'll gain

Pandas (Python Package), Data Manipulation, Data Visualization Software, Business Analytics, Data Cleansing, Python Programming, Trend Analysis, Data Visualization, Data Transformation, Data Analysis, Data-Driven Decision-Making, Time Series Analysis and Forecasting, Data Import/Export, Statistical Analysis, and Statistics

What you'll learn

  • A comprehensive understanding of how GenAI technologies can be applied in a data science team, enhancing data quality and model development.

  • GenAI tools to automate and optimize data augmentation, to automate repetitive tasks such as data manipulation, model development, etc.

  • The ethical implications and best practices for integrating GenAI within data science team projects to ensure responsible and effective use.

Skills you'll gain

Generative AI, AI Product Strategy, Data Ethics, Prompt Engineering, Data Quality, Predictive Modeling, Data Strategy, and Responsible AI

What you'll learn

  • Analyze the basics of Excel VBA and Macros to understand their functions and applications.

  • Design macros using the Excel and VBA editor to automate routine tasks.

  • Implement macros to automate repetitive tasks, enhancing productivity.

  • Evaluate and debug VBA code to ensure efficient data manipulation and analysis.

Skills you'll gain

Visual Basic (Programming Language), Automation, Excel Macros, Excel Formulas, Spreadsheet Software, Data Transformation, Data Cleansing, Programming Principles, Debugging, Data Analysis Expressions (DAX), Strategic Decision-Making, Microsoft Excel, and Productivity Software

What you'll learn

  • Practice with Excel's Analysis ToolPak to perform advanced statistical analysis.

  • Evaluate various hypothesis tests within Excel, including t-tests and ANOVA.

  • Analyze business problems with the use of Excel to conduct simple and multiple regression analyses

Skills you'll gain

Variance Analysis, Regression Analysis, Statistical Hypothesis Testing, Business Analysis, Correlation Analysis, Analytics, Data Manipulation, Data Visualization, Microsoft Excel, Probability & Statistics, Statistical Analysis, Quality Control, Case Studies, Forecasting, Data Analysis, Data-Driven Decision-Making, and Business Analytics

What you'll learn

  • Identify the advanced capabilities of GenAI for enhancing various data analysis tasks, including unique functionalities and innovative use cases.

  • Examine and apply real-world applications of GenAI in data analysis, highlighting unique success stories and innovative practices.

  • Reflect on how GenAI can significantly improve productivity & foster innovation in data analysis, with insights into future trends & industry shifts.

Skills you'll gain

Generative AI, Predictive Analytics, AI Product Strategy, Analytics, Data Processing, Prompt Engineering Tools, Data Analysis, Advanced Analytics, Machine Learning Algorithms, Responsible AI, Data Cleansing, and Data Transformation

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

Instructors

Caio Avelino
6 Courses6,219 learners
Arkadi Avanesyan
Coursera Instructor Network
8 Courses56,270 learners
Starweaver
Coursera Instructor Network
448 Courses831,185 learners
Diogo Resende
Coursera Instructor Network
3 Courses6,513 learners
Soheil Haddadi, Reza Moradinezhad
Coursera Instructor Network
11 Courses10,949 learners
antik patel
Coursera Instructor Network
3 Courses2,238 learners
Dr. Beju Rao
Coursera Instructor Network
5 Courses1,815 learners

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