SAS for Statistics

SAS for Statistical Concepts and Data Visualization
4.44 (26 reviews)
Udemy
platform
English
language
Other
category
instructor
SAS for Statistics
2 031
students
1 hour
content
Mar 2022
last update
$44.99
regular price

Why take this course?

📚 Course Title: SAS for Statistics: From Concepts to Data Visualization

🎓 Headline: Master Statistical Concepts and Data Visualization with SAS


Course Overview: Dive into the world of data with our comprehensive online course, designed to equip you with a profound understanding of statistical concepts through the lens of SAS programming. Whether you aspire to be a Marketing Analyst, a Business Intelligence Analyst, a Data Analyst, or a Data Scientist, this course will provide you with the essential skills and knowledge required to excel in your career.

Why Take This Course?

  • Industry-Relevant Skills: Gain an edge over your peers by understanding how to apply statistical concepts in real-world scenarios across various industries.
  • Hands-On Learning: Engage with SAS programming to implement and visualize data, turning theoretical knowledge into practical skills.
  • Career Advancement: Enhance your career prospects by mastering the tools and techniques demanded by employers in analytics and data science.

What You'll Learn: This course is meticulously structured to take you from the basics of statistical analysis to advanced data visualization techniques using SAS. Here's a glimpse of what you'll cover:

  • Statistical Analysis with SAS: Understand and execute essential statistical analyses within the SAS environment.

  • Use of Statistics in Data Science: Discover how statistical methods underpin data science and learn to apply them effectively.

  • Statistics for Decision Making: Gain insights into how statistical analysis influences decision-making processes in business and beyond.

  • Descriptive Statistics: Master the fundamental concepts of descriptive statistics and explore their practical applications.

  • Central Tendency (Mean, Median, Mode): Dive deep into the core measures of central tendency and learn how to calculate and interpret them using SAS.

  • Variance & Standard Deviation: Explore different measures of variance, including range, quartiles, percentiles, variance, and standard deviation, and understand their significance in data analysis.

  • Exploratory Data Analysis (EDA): Learn the principles of EDA and how to perform it using SAS to uncover hidden patterns and insights within your data.

  • Data Visualization with SAS: Transform your data into compelling visual stories with bar charts, line graphs, bubble charts, and scatter plots.

  • Inferential Statistics: Understand the principles of inferential statistics and learn how to make predictions and inferences about populations using SAS.

  • Statistics Across Industries: Apply your statistical knowledge to real-world scenarios from different sectors, enhancing your ability to tailor analytical solutions to various contexts.

  • Probability & Probability Distributions: Grasp the concepts of random variables and probability distributions, and their importance in statistical analysis.

  • Sampling Techniques & Stratified Sampling: Learn the art of sampling and its implementation using SAS to derive meaningful insights from large datasets.

Who Should Take This Course?

  • Aspiring and practicing Data Analysts, Marketing Analysts, Business Intelligence Analysts, and Data Scientists.
  • Professionals looking to upskill in statistical methods and data visualization with a focus on SAS.
  • Anyone interested in understanding how statistical concepts can be applied to solve real-world problems.

Get Started Today! Embark on your journey to becoming an expert in statistical analysis and data visualization with SAS. This course is your stepping stone to unlocking the potential of big data, making data-driven decisions, and driving success in your professional endeavors. 🌟

Enroll now and transform the way you approach statistics and data analysis!

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4515100
udemy ID
25/01/2022
course created date
21/09/2022
course indexed date
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