MINITAB
Specialization | 9 Course Series | 2 Mock Tests
This Minitab Training includes 9 courses with 48 hours of video tutorials and One year access and several mock tests for practice. You will also get verifiable certificates (unique certification number and your unique URL) when you complete each of them. This Minitab training will help you learn Predictive Modeling, Analysis of Variance ANOVA, Correlation Techniques, Regression Modeling using Minitab Software.
Offer ends in:
What you'll get
- 48 Hours
- 9 Courses
- Course Completion Certificates
- One year access
- Self-paced Courses
- Technical Support
- Mobile App Access
- Case Studies
- Download Curriculum
Synopsis
- Courses: You get access to all 9 courses, Projects bundle. You do not need to purchase each course separately.
- Hours: 48 Video Hours
- Core Coverage: Predictive Modeling, Analysis of Variance ANOVA, Correlation Techniques, Regression Modeling using Minitab Software
- Course Validity One year access
- Eligibility: Anyone serious about learning Minitab and wants to make a career in Data Analysis
- Pre-Requisites: Basis Statistical concepts
- What do you get? Certificate of Completion for each of the 9 courses, Projects
- Certification Type: Course Completion Certificates
- Verifiable Certificates? Yes, you get verifiable certificates for each course with a unique link. These links can be included in your resume/LinkedIn profile to showcase your enhanced data analysis skills
- Type of Training: Video Course – Self-Paced Learning
Content
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MODULE 1: MINITAB Essentials Training
Courses No. of Hours Certificates Details Minitab for Beginners - 2024 1h 15m ✔ Advanced Minitab Training - 2024 4h 39m ✔ Advanced Minitab Training 2h 51m ✔ -
MODULE 2: Minitab Data Analytics & Statistics
Courses No. of Hours Certificates Details Minitab GUI and Descriptive Statistics 2h 43m ✔ Statistical Analysis using Minitab - Beginners to Beyond 4h 21m ✔ Minitab - Data Analytics 4h 38m ✔ -
MODULE 3: Minitab Regression & Predictive Modeling
Courses No. of Hours Certificates Details Predictive Analytics & Modeling using Minitab 15h 35m ✔ Minitab Practical - Impact of Predictors on Response 1h 35m ✔ Minitab Practical - Testing of Hypothesis 57m ✔ -
MODULE 4: Mock Tests and Quizzes
Courses No. of Hours Certificates Details Test - Minitab Minor Test 1 Test - Minitab Minor Test 2
Description
The course provides comprehensive training in utilizing Minitab, a powerful statistical software package widely used for data analysis and visualization in various fields including business, engineering, and research. Through a series of structured modules, participants will learn essential techniques for data analysis, statistical modeling, and predictive analytics using Minitab. From basic navigation and descriptive statistics to advanced regression modeling and predictive analytics, this course equips learners with the knowledge and skills needed to leverage Minitab effectively for data-driven decision-making. Whether you're a beginner looking to master the fundamentals or an experienced user seeking to enhance your analytical capabilities, this course offers valuable insights and practical hands-on experience to elevate your proficiency in Minitab.
MODULE 1: MINITAB Essentials Training
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Minitab for Beginners - 2023: This session provides an introductory overview of Minitab, catering to those new to the software. Participants will learn the basics of navigating the interface, importing data, and performing fundamental statistical analyses.
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Advanced Minitab Training - 2023: Building upon the foundational knowledge acquired in the beginner session, this module delves into more advanced features and analysis techniques offered by Minitab. Participants will explore topics such as hypothesis testing, ANOVA, and regression analysis.
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Advanced Minitab Training: This session further expands on advanced topics in Minitab, covering additional statistical methods, data manipulation techniques, and advanced visualization options. Participants will gain a deeper understanding of how to leverage Minitab for complex data analysis tasks.
MODULE 2: Minitab Data Analytics & Statistics
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Minitab GUI and Descriptive Statistics: Participants will learn how to effectively use the graphical user interface (GUI) of Minitab for data entry, exploration, and descriptive statistical analysis. Topics covered may include measures of central tendency, variability, and graphical representations of data.
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Statistical Analysis using Minitab - Beginner: This session focuses on performing basic statistical analyses using Minitab. Participants will learn how to conduct hypothesis tests, calculate confidence intervals, and interpret results using Minitab's statistical tools and output.
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Minitab - Data Analytics: Participants will explore advanced data analytics techniques in Minitab, such as cluster analysis, factor analysis, and time series analysis. This session may also cover strategies for data cleaning, transformation, and preparation for analysis.
MODULE 3: Minitab Regression & Predictive Modeling
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Predictive Analytics & Modeling using Minitab: This module dives into predictive analytics and modeling techniques using Minitab. Participants will learn how to build regression models, assess model performance, and make predictions based on data using Minitab's regression and predictive modeling tools.
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Minitab Practical - Impact of Predictors on Outcomes: Through practical exercises, participants will apply regression analysis techniques in Minitab to explore the impact of various predictors on outcomes of interest. They will learn how to interpret regression coefficients, assess model fit, and draw actionable insights from the results.
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Minitab Practical - Testing of Hypothesis: This session focuses on hypothesis testing using Minitab. Participants will learn how to formulate hypotheses, select appropriate tests, conduct hypothesis tests, and interpret the results using Minitab's statistical tools.
MODULE 4: Mock Tests and Quizzes
- This module offers mock tests and quizzes designed to assess participants' understanding of the concepts and skills covered in the previous modules. Participants can test their knowledge, identify areas for improvement, and prepare themselves for real-world applications of Minitab in data analysis and statistical modeling.
Sample Certificate
Requirements
- Basic understanding of statistics: Participants should have knowledge of fundamental statistical concepts such as mean, median, standard deviation, and hypothesis testing.
- Familiarity with data analysis: A basic understanding of data analysis techniques, including data visualization, descriptive statistics, and inferential statistics, would be beneficial.
- Computer literacy: Participants should be comfortable using computers and have basic proficiency in software applications.
- Willingness to learn: A proactive attitude and willingness to engage in hands-on activities and practical exercises are essential for gaining proficiency in Minitab.
- No prior Minitab experience required: While prior experience with Minitab is helpful, it is not required as the course covers both beginner and advanced topics in Minitab.
Target Audience
- Students: Undergraduate and graduate students studying statistics, data science, business analytics, or related fields who want to enhance their skills in statistical analysis and data visualization using Minitab.
- Professionals: Professionals working in industries such as manufacturing, quality control, healthcare, finance, and market research who use Minitab for data analysis, process improvement, and decision-making.
- Researchers: Individuals involved in research projects who need to analyze data, perform statistical tests, and create visualizations using Minitab.
- Quality Assurance and Six Sigma Practitioners: Professionals involved in quality management, process improvement, and Six Sigma projects who use Minitab for statistical analysis and process optimization.
- Anyone interested in data analysis: Individuals who are curious about data analysis and want to learn how to use Minitab for exploring data, performing statistical tests, and making data-driven decisions.
Course Ratings
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The course helped me to get insights on the various hypothesis that are done to do the predictive analysis which helps us to make observations and also make predictions and analyze the behavior of the trend, also working on minitab was a great experience wherein getting the descriptive analysis is much more easier than excel.
Atish Palav