February 11, 2024

Statistical Package (IBM SPSS, Power BI, MS Excel)

Are you ready to harness the power of statistical analysis and data visualization to drive insights and informed decision-making? Our comprehensive training program in IBM SPSS, Power BI, and MS Excel is designed to equip you with the skills and knowledge needed to effectively analyze data, visualize trends, and derive actionable insights. Let’s explore why our training program is the perfect choice for individuals seeking proficiency in statistical packages:

Why Choose Our Training Program?

  1. Triple Expertise: Gain proficiency in three powerful statistical packages – IBM SPSS, Power BI, and MS Excel, expanding your analytical toolkit and empowering you to tackle diverse data analysis tasks.
  2. Hands-On Learning: Dive into practical, hands-on exercises, case studies, and real-world data sets that allow you to apply statistical techniques and data visualization methods using all three software packages.
  3. Experienced Instructors: Learn from experienced data analysts and certified experts in IBM SPSS, Power BI, and MS Excel, who will guide you through the intricacies of each software and provide practical insights and tips for effective data analysis.
  4. Flexible Learning Options: Choose from flexible learning options, including instructor-led training, self-paced online courses, or customized workshops tailored to your specific needs and skill level.
  5. Career Enhancement: Enhance your resume and career prospects with valuable skills in statistical analysis and data visualization, making you a highly desirable candidate for data analyst, business intelligence, or research positions.

What Will I Learn?

  • Data Import and Cleaning: Learn how to import, clean, and prepare data for analysis in IBM SPSS, Power BI, and MS Excel, ensuring data integrity and reliability in your analysis.
  • Descriptive Statistics: Explore descriptive statistical techniques to summarize and visualize data distributions, central tendency, variability, and relationships between variables using all three software packages.
  • Inferential Statistics: Master inferential statistical techniques such as hypothesis testing, correlation analysis, regression analysis, ANOVA, and chi-square tests using IBM SPSS, Power BI, and MS Excel.
  • Data Visualization: Discover the art of data visualization and learn how to create interactive charts, graphs, dashboards, and reports to communicate insights and findings effectively using Power BI and MS Excel.
  • Advanced Analytics: Dive into advanced analytics techniques such as predictive modeling, time series analysis, clustering, and decision trees using IBM SPSS, enabling you to uncover hidden patterns and trends in your data.
  • Integration and Automation: Explore methods for integrating and automating data analysis processes across IBM SPSS, Power BI, and MS Excel, streamlining workflows and increasing productivity in data-driven decision-making.

Course Content

Getting started

  • Introduction to the Course
  • Quality attributes and scenarios
  • Introduction to Cloud Computing
  • Cloud Computing Models

About the instructor

4.00 (18 ratings)

29 Courses

0 students

Student Feedback

Very Good
2 Reviews

This course is amazing, it is extremely thorough and in depth.

Great starting point for learning Swift. If you have never programmed, or never used Swift it is a great place to start.

Durations: 60 hours
Lectures: 3
Students: Max 0
Level: Beginner
Language: English
Certificate: Yes

Material Includes

  • 3.5 hours on-demand video
  • 1 article
  • 7 downloadable resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion


  • Have an Email Account


  • Data Analysts: Professionals working in data analysis, business intelligence, market research, or data-driven decision-making roles who want to enhance their skills and proficiency in statistical packages.
  • Researchers: Academic researchers, scientists, and social scientists looking to conduct statistical analysis and visualize research findings using IBM SPSS, Power BI, and MS Excel.
  • Business Professionals: Business professionals, managers, and executives seeking to leverage data analytics and visualization tools to gain insights into business performance, customer behavior, and market trends.
  • Students and Graduates: Students or recent graduates in statistics, economics, mathematics, or related fields interested in acquiring practical skills and experience with statistical packages to enhance their academic and career prospects.

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