SAS Analytics Training – Mastering Analytics with SAS
About This Course
Learning Objectives
Week 1: Introduction to SAS and Basic Data Handling (4 Hours)
Session 1 (2 Hours): Introduction to SAS
Overview of SAS Software: History and Industry Applications
Navigating the SAS Environment (SAS Studio, SAS Enterprise Guide)
Basic Syntax and Commands in SAS
Session 2 (2 Hours): Data Management Basics in SAS
Importing and Exporting Data in SAS
Data Manipulation Techniques (SORT, SET, MERGE)
Introduction to SAS Libraries and Data Sets
Week 2: Data Analysis and Reporting in SAS (6 Hours)
Session 3 (2 Hours): Descriptive Statistics and Data Summarization
Generating Descriptive Statistics in SAS (MEANS, FREQ, SUMMARY)
Data Summarization Techniques
Creating Basic Reports and Outputs
Session 4 (2 Hours): Data Visualization in SAS
Introduction to SAS Graphical Procedures (SGPLOT, SGPANEL)
Creating Charts and Graphs for Data Presentation
Customizing Visual Outputs in SAS
Session 5 (2 Hours): Advanced Data Analysis Techniques
Conducting Correlation and Regression Analysis
ANOVA and Other Statistical Tests
Introduction to Predictive Modeling in SAS
Week 3: Advanced SAS Programming and Analytics (6 Hours)
Session 6 (2 Hours): Advanced Data Manipulation
Advanced SAS Functions and Procedures
Data Cleaning and Preprocessing Techniques
Working with Dates and Times in SAS
Session 7 (2 Hours): SQL Programming in SAS
Introduction to PROC SQL for Data Querying
Combining SAS Datasets with SQL Joins
Advanced SQL Queries in SAS
Session 8 (2 Hours): Macro Programming in SAS
Basics of SAS Macro Language
Automating Tasks with Macros
Building and Using Macro Variables
Week 4: Business Applications and Capstone Project (4 Hours)
Session 9 (2 Hours): SAS in Business Contexts
Case Studies: SAS Applications in Finance, Marketing, and Operations
Discussing Ethical Implications of Data Analytics
Integrating SAS Analysis into Business Decision-Making
Session 10 (2 Hours): Capstone Project and Course Wrap-Up
Applying SAS Skills to a Real-World Business Problem
Presenting Capstone Project Findings
Course Summary and Recommendations for Continued Learning
Material Includes
- Our Approach to Empowering Your Learning Journey
- At SkilledMBA, we believe in leveraging the vast expanse of high-quality educational content already available in the digital world. Instead of reinventing the wheel by creating our own content, we focus on meticulously researching and curating the finest resources from renowned global platforms. Our aim is to connect you, our learners, with the best study materials that the internet has to offer.
- What We Offer: Curated World-Class Resources: We explore the web to handpick the most insightful and valuable educational resources: Our team carefully selects materials from prestigious universities, leading business schools, and industry experts: We ensure these resources are not just comprehensive but also the most current and relevant in the ever-evolving business landscape: Diverse Learning Materials: Access to a wide array of formats – from video lectures by seasoned professionals and academics to in-depth articles and case studies: Interactive tools and simulations from top-tier educational platforms to enhance practical learning: A rich selection of eBooks, journals, and research papers from acclaimed sources. Guided Learning Paths: Our courses are structured to guide you through these resources in a coherent and systematic manner. Each learning path is thoughtfully designed to build your understanding from fundamental concepts to advanced applications. Regular assessments, based on these resources, will help track and enhance your learning progress. Continuously Updated Content: The digital learning landscape is dynamic. We continuously update our resource pool to include the latest and most innovative learning materials. This ensures that you are always in step with the newest trends, tools, and theories in the business world. Networking and Community Learning: We encourage peer-to-peer learning and networking through discussion forums and virtual study groups. Engage with fellow learners worldwide, share insights, and gain diverse perspectives. Expert Guidance and Support: While we provide independent learning resources, our team of experts is always available to offer guidance and answer queries. Regular webinars and interactive sessions to discuss these resources and their practical applications in real-world scenarios. Our Commitment: Our commitment lies in empowering you with the best educational resources available globally. We believe in the power of sharing knowledge and providing access to top-tier learning materials. At SkilledMBA, your educational journey transcends traditional boundaries, opening doors to a world of comprehensive, diverse, and up-to-date learning experiences. Join us at SkilledMBA, where your pursuit of knowledge is fueled by the best resources the world has to offer.
Requirements
- For the course "SAS Analytics Training - Mastering Analytics with SAS," the typical requirements or instructions might include:
- Educational Background: A bachelor's degree, preferably in business, economics, mathematics, or a related field. For current MBA students, being enrolled in or having completed foundational courses in business or management studies is expected.
- Basic Understanding of Statistics and Mathematics: Since the course delves into advanced statistical techniques, a fundamental understanding of statistics, probability, and basic mathematics is crucial for comprehending the course material effectively.
- Familiarity with Data Analysis Tools: Basic knowledge of data analysis tools and software (such as Excel, R, Python, or SPSS) is beneficial. The course might involve practical exercises using these tools.
- Access to a Computer and Internet: As the course may include online lectures, assignments, and the use of statistical software, having a reliable computer with internet access is essential.
- English Proficiency: Since the course is likely to be conducted in English, proficiency in the language (both written and spoken) is necessary for understanding and completing course requirements.
- Time Commitment: A commitment to devote the necessary time to attend lectures, complete assignments, and engage in self-study is crucial for success in the course.
- Interactive Participation: Active participation in discussions, group projects, and other interactive components of the course may be encouraged or required.
- Pre-course Preparation: Some courses may have pre-course reading or preparatory material that students are expected to complete before the start of the course.
- These requirements are designed to ensure that participants have the necessary background and resources to fully engage with and benefit from the advanced material covered in the course. It's always a good idea for prospective students to check with the specific course provider for any additional or specific requirements.
Target Audience
- The target audience for the course "SAS Analytics Training - Mastering Analytics with SAS" primarily includes:
- MBA Students: The course is specifically tailored for students enrolled in Master of Business Administration (MBA) programs. It is ideal for those looking to enhance their analytical skills in the context of business decision-making.
- Business Professionals: Working professionals in various business sectors who are seeking to upskill or retrain, especially those in managerial or decision-making roles, would find this course beneficial. It's suitable for individuals who aim to integrate data-driven strategies into their business processes.
- Aspiring Data Analysts in Business Contexts: Individuals aiming to transition into roles that require strong analytical skills in business settings, such as business analysts, data analysts, or strategic consultants, are also part of the target audience.
- Entrepreneurs and Business Owners: Entrepreneurs and small business owners who want to gain a deeper understanding of how to use data analytics to drive business growth and make informed decisions would find this course valuable.
- Career Changers: Those looking to shift their career towards more data-centric roles in the business sector can benefit from the comprehensive coverage of statistical techniques and practical applications offered in this course.
- Overall, the course is aimed at anyone with an interest in harnessing the power of data and statistics to make informed business decisions, whether they are currently pursuing an MBA, working in a business environment, or planning a career shift into data-focused roles in business.