Microsoft Excel Pivot Tables – Beginner to Advanced
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- This product is available at Udemy.
- At udemy.com you can purchase Data Analysts Toolbox: Excel, SQL, Python, Power BI, Tableau for only $19.99
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Microsoft Excel Pivot Tables – Beginner to Advanced
$84.99
Description
-
Data Analysts Toolbox: Excel, SQL, Python, Power BI, Tableau
★★★★★
$19.99
in stock
Udemy.com
as of June 16, 2025 5:14 am
Gain Real World Skills By Mastering Excel, SQL, Python, Power BI, and Tableau for Data Analysts

Created by:
Bluelime Learning Solutions
Making Learning Simple
Making Learning Simple
Rating:4.24 (60reviews)
380students enrolled
What Will I Learn?
- Develop a foundational understanding of data analysis principles and techniques.
- Master Excel functions and formulas for data manipulation, analysis, and visualization.
- Learn SQL for data querying, manipulation, and retrieval from relational databases.
- Acquire programming skills in Python for data handling, manipulation, and analysis.
- Create compelling data visualizations and dashboards using Power BI and Tableau.
- Apply learned skills to real-world data sets and scenarios.
Requirements
- Basic Computer Skills: Familiarity with navigating computer systems, using software applications, and basic file management is recommended.
- Fundamental Math Skills: A foundational understanding of basic mathematical concepts like arithmetic, algebra, and statistics will be beneficial for comprehending data analysis principles.
- No Prior Programming Knowledge Required: While prior programming experience is not mandatory, a willingness to learn and engage with programming concepts is essential for the Python section of the course.
- Access to a Computer: Learners should have access to a computer or laptop with internet connectivity to participate in the course modules and complete exercises.
- Software and Tools: Access to software such as Microsoft Excel, SQL client (e.g., MySQL Workbench), Python (Anaconda distribution recommended), Power BI Desktop, and Tableau Public (free version) will be necessary for hands-on practice during the course. Free trials or open-source alternatives are available for some tools.
- For Beginners: No prior experience or specific skills are mandatory to embark on this course.
Target audience
- Aspiring Data Analysts: Individuals keen on pursuing a career in data analysis or transitioning into the field will find immense value in this course. It serves as a comprehensive introduction to the essential tools and techniques used in the data analytics domain.
- Professionals Seeking to Upskill: Professionals working in diverse fields such as business, finance, marketing, healthcare, or any industry reliant on data-driven decision-making will benefit from enhancing their data analysis skills. Whether you're a business analyst, financial analyst, marketing professional, or from another field, this course equips you with the tools to extract meaningful insights from data.
- Students and Graduates: Students pursuing degrees in fields related to data science, computer science, business analytics, or any discipline with an interest in data will discover a solid foundation in data analysis methodologies and tools, setting them on the path to excel in their academic pursuits and future careers.
- Entrepreneurs and Small Business Owners: Entrepreneurs and small business owners seeking to harness the power of data to drive business growth and make informed decisions will find this course invaluable. Understanding how to analyze and visualize data can aid in optimizing strategies, identifying trends, and making data-driven decisions crucial for success.
- Anyone Curious About Data Analysis: Individuals with a general interest in data analysis, regardless of their professional background, will benefit from acquiring practical skills in Excel, SQL, Python, Power BI, and Tableau. Whether you're a hobbyist, a curious mind, or someone looking to explore new horizons, this course provides a comprehensive understanding of data analysis tools.
- This course caters to a diverse audience by delivering a structured learning experience that accommodates various skill levels and backgrounds. It's designed to empower learners with the essential skills required to navigate the intricate landscape of data analysis confidently, fostering a community of individuals passionate about deriving insights from data.
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