Free Data Analytics using ChatGPT Course
Data Analytics using ChatGPT with Excel and Python
Enrol today for this free Data Analytics using ChatGPT with Excel and Python course. Elevate your expertise in this field with guidance from our seasoned professionals. Get started now!
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About this Free Certificate Course
This comprehensive program will equip you with essential data analytics skills while leveraging the power of both traditional spreadsheet tools and cutting-edge Python programming, all with the assistance of ChatGPT. We begin with an "Introduction to Data Analysis using ChatGPT," providing you with a foundational understanding of data analysis principles. From there, you'll dive into "EDA using Python and ChatGPT," where you'll harness Python's capabilities alongside ChatGPT's natural language processing for exploratory data analysis. Next, we'll guide you through "Data Modeling for Regression using Python and ChatGPT," enabling you to make data-driven predictions and decisions. But we won't stop at Python - our course also includes "Introduction to Data Analysis using Excel and ChatGPT," offering an alternative approach to data manipulation and visualization, followed by "EDA using Excel and ChatGPT." By the course's end, you'll possess a well-rounded skill set, combining Python-based data analysis and Excel-based data manipulation, all enriched by ChatGPT's insights and assistance. Get ready to embark on your data analytics journey and unlock your data's full potential!
Course Outline
This module will teach you the fundamentals of data analysis using ChatGPT. You will learn how to import data from a variety of sources, handle missing values, and generate summary statistics. You will also learn how to use ChatGPT to explore your data and identify patterns and trends.
This module will teach you how to explore univariate and bivariate analysis using a variety of charts. You will learn how to use histograms, heatmaps, and scatter plots to visualize the distribution of data, identify patterns and trends, and explore the relationships between variables.
This module will introduce you to the basics of regression modeling using Python and ChatGPT. You will learn how to fit a regression model to data, evaluate its performance, and use ChatGPT to implement a regression model.
This module will teach you the fundamentals of data analysis using Excel and ChatGPT. You will learn how to import data, handle missing values and duplicate values, and generate summary statistics.
This module will teach you how to use Excel commands to explore univariate and bivariate analysis and understand a variety of charts, including box plots, histograms, and pivot tables. You will also learn how to apply various prompts using ChatGPT to automate your data analysis tasks.
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Frequently Asked Questions
What are the prerequisites required to learn this Free Data Analytics using ChatGPT Course?
You do not need any prior knowledge to learn this Data Analytics using ChatGPT Course.
How long does it take to complete this Free Data Analytics using ChatGPT Course?
Free Data Analytics using ChatGPT Course is a 2.5 hour long course, but it is self-paced. Once you enrol, you can take your own time to complete the course.
Will I have lifetime access to the free course?
Yes, once you enrol in the course, you will have lifetime access to any of the Great Learning Academy’s free courses. You can log in and learn whenever you want to.
Will I get a certificate after completing this Free Data Analytics using ChatGPT Course?
Yes, you will get a certificate of completion after completing all the modules and cracking the assessment.
How much does this Data Analytics using ChatGPT Course cost?
It is an entirely free course from Great Learning Academy.
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Data Analytics using ChatGPT with Excel and Python
Data analytics is a critical component of modern decision-making processes, enabling organizations to extract valuable insights from their data. The integration of ChatGPT with Excel and Python provides a powerful toolkit for data analysts, data scientists, and business professionals to streamline their analytics workflows and make data-driven decisions effectively.
Excel, a widely used spreadsheet application, is known for its user-friendly interface and data manipulation capabilities. However, when dealing with large datasets or complex analysis tasks, Excel can become cumbersome and limited in its capabilities. This is where Python, a versatile and powerful programming language, comes into play.
The integration of ChatGPT with Excel and Python offers several benefits:
Data Extraction and Preparation: ChatGPT can assist in extracting relevant data from various sources, such as databases, web services, or even unstructured text. Users can communicate with ChatGPT in natural language to request specific data, saving time on manual data entry and extraction.
Data Cleaning and Transformation: Excel's data cleaning and transformation capabilities are well-known, but Python offers even greater flexibility and automation. ChatGPT can guide users on writing Python scripts to automate data cleaning tasks, handling missing values, and transforming data for analysis.
Advanced Analysis: While Excel provides basic statistical and charting tools, Python's data analysis libraries like Pandas, NumPy, and Matplotlib offer more advanced capabilities. ChatGPT can help users write Python code to perform complex statistical analysis, predictive modeling, and data visualization, providing deeper insights into their data.
Machine Learning: Python is the go-to language for machine learning and artificial intelligence (AI) projects. ChatGPT can assist in developing machine learning models for tasks like classification, regression, and clustering, allowing users to leverage the power of AI in their data analytics projects.
Natural Language Queries: ChatGPT's natural language processing capabilities enable users to ask questions about their data in plain English. For example, users can ask, "What were the sales figures for the last quarter?" or "Show me a correlation heatmap between revenue and marketing spend." ChatGPT can then generate Python code to fetch the requested data and generate the desired visualizations or insights.
Automation and Reporting: ChatGPT can help automate repetitive tasks, such as generating daily or weekly reports. Users can define report templates and use ChatGPT to populate them with up-to-date data, ensuring that decision-makers always have access to the latest information.
Collaboration: Excel and Python integration with ChatGPT promotes collaboration within teams. Users can share their data analysis scripts and collaborate on projects more effectively, as ChatGPT can assist in explaining code, troubleshooting issues, and providing guidance.
Scalability: As data volumes grow, Python's scalability becomes increasingly important. ChatGPT can help users transition from manual Excel-based workflows to Python-based solutions that can handle larger datasets and more complex analyses without performance bottlenecks.
In conclusion, the integration of ChatGPT with Excel and Python enhances data analytics by combining the strengths of both tools. Excel remains a valuable platform for data manipulation and visualization, while Python extends the capabilities for data analysis, machine learning, and automation. ChatGPT acts as a bridge between these tools, making it easier for users to interact with their data, write Python code, and gain valuable insights. This integration empowers organizations to harness the full potential of their data, driving better decision-making and competitive advantage in today's data-driven world.