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4.74 out of 5
50 reviews on Udemy

Data Analytics & Visualization: Using Excel and Python

Unlocking Insights through Data: Mastering Analytics and Visualization for In-Demand Tech Proficiency
Meritshot Academy
6,145 students enrolled
English [Auto]
Real-world use cases of Python and its versatility.
Installation of Python on both Mac and Windows operating systems.
Fundamentals of programming with Python, including variables and data types.
Working with various operators in Python to perform operations.
Fundamental concepts and importance of statistics in various fields.
How to use statistics for effective data analysis and decision-making.
Introduction to Python for statistical analysis, including data manipulation and visualization.

Embark on a transformative journey into the dynamic realm of Data Analytics and Visualization, where you will acquire essential and sought-after tech skills. This comprehensive course is designed to empower you with proficiency in key tools and methodologies, including Python programming, Excel, statistical analysis, data analysis, and data visualization.

Key Learning Objectives:

– Gain hands-on experience in Python, a powerful and versatile programming language widely used for data analysis and manipulation.

– Learn to leverage Python libraries such as Pandas and NumPy for efficient data handling and manipulation.

– Develop advanced skills in Excel, exploring its robust features for data organization, analysis, and visualization.

– Harness the power of Excel functions and formulas to extract insights from complex datasets.

– Acquire a solid foundation in statistical concepts and techniques essential for making informed decisions based on data.

– Apply statistical methods to interpret and draw meaningful conclusions from data sets.

– Explore the entire data analysis process, from data cleaning and preprocessing to exploratory data analysis (EDA) and feature engineering.

– Learn how to identify patterns, outliers, and trends within datasets, enabling you to extract valuable insights.

– Master the art of presenting data visually through a variety of visualization tools and techniques.

– Use industry-standard tools like Matplotlib and Seaborn to create compelling and informative data visualizations.

Upon completion, you will possess a well-rounded skill set in data analytics and visualization, equipping you to tackle real-world challenges and contribute meaningfully to data-driven decision-making in any professional setting. Join us on this journey to become a proficient and sought-after tech professional in the field of data analytics and visualization.

You can view and review the lecture materials indefinitely, like an on-demand channel.
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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17 hours on-demand video
Certificate of Completion

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