Data Analysis with SPSS
During the training, you will learn numerous new methodologies ranging from data entry, cleaning, and management to analytical data analysis with diagnostic evaluations, using IBM SPSS tools such as SPSS Modeler and SPSS Statistics. These methodologies will be applied to real business, sales, finance, healthcare, and government data. SPSS Modeler is the choice for anyone who wants to perform fast and accurate analytical analysis with large volumes of data.
Training table
Statistics and Data Analysis with SPSS
Statistics and Data Analysis with SPSS
Statistik und Datenanalyse mit SPSS
Статистика и анализ данных с SPSS
Information about the training
This training program encompasses a wide range of methodologies using SPSS Statistics and SPSS Modeler tools, from basic calculations such as creating charts and lists, visualizing data, and data cleaning, to more advanced concepts like Normal Distribution, Central Limit Theorem, Hypothesis Testing, and the Law of Large Numbers. Through this training, you will acquire fundamental statistical knowledge as well as all the essential skills related to data analysis. This will enable you to perform the necessary analyses for your data analytics projects more quickly and accurately, helping you to achieve data-driven results. Consequently, you will be able to make decisions faster and improve the quality of your work.
Who is this training for?
Marketing, Finance, Sales, Human Resources professionals and managers, Business Managers, Business Analysts, Data Analysts, those learning and interested in Data Analytics, anyone who wants to work with large datasets, young professionals, and students aiming to build a career in Data Analytics.
Certificate
Upon successful completion of the training, participants will be awarded a Certified Data Analyst certificate, while others will receive a participation certificate. You can see a sample certificate on the right.
SPSS for beginners!
SPSS for Data Analysis
freeCodeCamp.org
SPSS Statistics is a software package used for interactive, or batched, statistical analysis. Video Courtesy: freeCodeCamp.org
Syllabus
Session 1
- General information about Data Science, Basic Statistical Concepts.
- Descriptive Analytics, Z-scores, Normal Distribution.
- Introduction to SPSS Statistics and SPSS Modeler.
- Identification and Management of Outliers.
Case Study 1
Descriptive Analytics on Telecommunications Data.
Session 2
- Basic Statistical Concepts, Normal Distribution
- Density Function of the Normal Distribution
- Probability Calculations Based on Normal Distribution
- Normal Distribution Tests
- Sampling Distributions, Probability Distributions
- Central Limit Theorem
- Diagnostic Analytics
Case Study 2
Diagnostic Analysis on Banking Data.
Session 3
- Comparison of Means, ANOVA Analysis
- CRISP-DM International Standards for Data Analysis Projects.
- Preparing the "Understanding the Data" Report for a Data Project Based on CRISP-DM.
- Preparing the "Data Collection" Report for a Data Project Based on CRISP-DM.
- Preparing the "Data Description" Report for a Data Project Based on CRISP-DM.
- Preparing the "Data Exploration and Visualization" Report for a Data Project Based on CRISP-DM.
Case Study 3
Preparing the Understanding the Data Report for a Freight and Logistics Data Project Based on CRISP-DM.
Case Study 3
Preparing the Understanding the Data Report for a Freight and Logistics Data Project Based on CRISP-DM.
Trainers
Etibar Huseynli
Chief Data Scientist, QSS ANALYTICSWith more than 10 years of experience in the field of analytics, Etibar Huseynli has worked as the Head of CRM and Churn Retention at Bakcell, Research Analyst at the Center for Entrepreneurship Development and Research and Universal Machines LLC, and Lecturer in Statistics at Baku Engineering University. He has high knowledge and skills in SPSS, GRETL, SAS, R, Python, Tableau, Excel, SQL-Data Management programs, having led 5 international and more than 10 local analytics projects. He happens to be a data analytics consultant for Bakcell and a number of companies, including the International Organization for Migration (IMO) and Hyundai.