Data Analytics Masters - From Basics To Advanced
Master Data Analysis: Learn Python, EDA, Stats, MS Excel, SQL, Power BI, Tableau, Predictive Analytics & ETL Basics
4.36 (1034 reviews)
13 841
students
49.5 hours
content
Apr 2025
last update
$74.99
regular price
What you will learn
Discover how to effectively handle, analyze, and visualize data using Python and its robust libraries, including Pandas, NumPy, Matplotlib, and Seaborn.
Learn how to conduct Exploratory Data Analysis (EDA) to reveal insights, detect patterns, and prepare data for further analysis through effective visualization
Acquire the skills to extract, manipulate, and aggregate data using SQL. You will utilize MySQL to handle complex databases and execute sophisticated queri
Master the art of creating interactive and insightful dashboards using Power BI and Tableau. You'll apply DAX for complex calculations in Power BI and integrate
Explore the fundamentals of machine learning, including classification, regression, and time series analysis, to enhance your predictive analytics skills.
Learn the fundamentals of ETL processes to effectively extract, transform, and load data for analysis.
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Our Verdict
The Data Analytics Masters course lives up to its name, offering a rigorous and comprehensive journey through data analytics' foundational theories and advanced techniques. With practical applications in Python, SQL, Excel, Tableau, Power BI, and more, this course empowers students to turn raw data into actionable insights. Although it may overwhelm novices with its density, diligent learners will undoubtedly benefit from the engaging content, real-world examples, and hands-on exercises. However, potential learners should be aware that the course may not provide extensive job market preparation or current toolset compatibility like other programs on the market.
What We Liked
- The course provides a thorough exploration of data analytics, from basics to advanced techniques, ensuring a comprehensive understanding.
- Real-world examples and hands-on exercises strengthen practical skills in tools like Excel, SQL, and Python.
- A well-rounded curriculum, including EDA, statistical analysis, predictive modeling, and data visualization using Tableau and Power BI.
- Expert instruction with clear explanations that simplify complex concepts for learners at any level.
Potential Drawbacks
- The course's sheer depth and breadth may overwhelm beginners despite the instructor's best efforts to clarify complex topics.
- Some modules could be updated more frequently to maintain compatibility with evolving toolsets and analytical methods.
- While interview guides are provided, real-world job hunting scenarios could better prepare learners for the job market.
- Lack of live human interaction or Q&A sessions might leave some students yearning for additional support.
5182120
udemy ID
27/02/2023
course created date
19/09/2024
course indexed date
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