Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
16 Hour(s) 55 Minute(s)
Language
English
Taught by
Meritshot Academy
Rating
Course Overview
Unlocking Insights through Data: Mastering Analytics and Visualization for In-Demand Tech Proficiency
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.
Course Content
- 10 section(s)
- 120 lecture(s)
- Section 1 Fundamentals of Excel
- Section 2 Statistical and Mathematical Functions in Excel
- Section 3 Lookup functions, and Pivot Tables
- Section 4 Logical Functions, and Text Functions
- Section 5 Data Cleaning, and Feature engineering
- Section 6 What If analysis
- Section 7 Charts and Dashboards
- Section 8 Linear Regression and Forecasting
- Section 9 Basics of Python
- Section 10 Introduction to Data Structures
What You’ll Learn
- 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.
Skills covered in this course
Reviews
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KKingsley Ifeanyi Okpaleke
It's easier to pause and then go back to each topic, unlike in real life where the teacher might not accommodate questions relating to past topics that have been taught
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HHari Krishna
understADNING AND MORE ACCURATE ALSO
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OOlga Kasimova
Объясняет все очень понятно, всегда можно вернуться к материалам если что-то не понимаешь.
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MMohamed El Filali
i had learned more about these skills i m interested to practice that
