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Learn the tool, do your own analysis.

From SPSS to Python, scale development to machine learning — one-on-one training for academic researchers and corporate teams. You work with your own data; by the end you'll have a working analysis, a report, and a method you can repeat.

We respond to requests within 24 hours.

Who Is It For?

Academic

  • Thesis students, PhD candidates, academics
  • SPSS/statistics, scale development
  • Bibliography, bibliometrics, literature review
Request Academic Training

Corporate

  • Corporate teams, university units, public sector
  • In-house skill development
  • On-site/online program, Excel/Python/agentic AI
Request Corporate Program

Training Catalog

Beginner

Data Analysis with Excel

12 hours

Intermediate

Advanced Excel: Power Query, Power Pivot, DAX

16 hours

Beginner

Python from Scratch

20 hours

Intermediate

Data Analysis with Python (pandas, numpy, matplotlib)

24 hours

Beginner

Applied Statistics with SPSS

18 hours

Beginner

Choosing the Right Test and Reporting in APA

10 hours

Advanced

Scale Development, Validity and Reliability

14 hours

Advanced

Structural Equation Modeling (AMOS / SmartPLS)

16 hours

Intermediate

Machine Learning (scikit-learn)

24 hours

Advanced

Deep Learning (TensorFlow / Keras)

24 hours

Intermediate

NLP and Turkish Text Mining

18 hours

Intermediate

Agentic AI: AI Agents and Business Automation

12 hours

All Levels

Thesis and Article Process Consulting

esnek hours

Intermediate

Bibliometric Analysis (VOSviewer, Bibliometrix)

12 hours

Beginner

Reference Management: EndNote, Mendeley, Zotero

6 hours

Beginner

Systematic Literature Review and Data Scraping

10 hours

Beginner

Google Search Console and SEO Data Analysis

8 hours

Intermediate

Google Analytics 4 + Looker Studio

10 hours

How Does It Work?

1
Request You submit your individual or corporate training request.
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2
Pre-Call & Level Assessment In a free call, we clarify your current knowledge level and goal.
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3
Program Design A custom curriculum is built for your level and data.
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4
Live Lesson + Homework + Follow-up You practice with your own data and continue with lasting materials.

Why Analizus?

  • Training is done with your own data, not a ready-made demo dataset.
  • Training is delivered by the team that built this site's 18 statistics tools, its bibliometric analysis engine, and its thesis-scanning infrastructure.
  • By the end you keep working materials: the dataset used, the SPSS syntax / Python notebook file, and a step-by-step application note.
  • After training, platform tools (/analiz/, /tarama/, /bibliometrics/) remain open for practice.

Formats & Durations

FormatWho It's For
One-on-One OnlineIndividual, personalized pace
Small GroupAcademic/corporate groups of 2-5 people
Corporate On-SiteIn-house skill development
HybridMixed online + on-site program

One-on-one training is planned in 6–8 hour packages; scope is clarified in the pre-call.

Instructor / Team

Training is delivered by the team that built this site's 18 statistics tools, its bibliometric analysis engine, and its thesis-scanning infrastructure. From the menu, you can verify by checking /analiz/ and /tarama/ pages.

Frequently Asked Questions

Yes; your level is assessed in the pre-call and the program is built accordingly.
All sessions are live and one-on-one/small group. We don't sell pre-recorded video courses.
Yes, that's the preferred method. Demo data is used only if your data isn't ready yet.
A typical group is 2–15 people; for 16+ participants the program is split into modules.
Individual training does not include an accredited certificate — the focus is on applicable skill. For corporate training, a certificate of attendance can be issued on request; this is a record of participation, not an accredited certificate.
Sessions are not recorded. Instead you receive lasting materials: the dataset used, the SPSS syntax / Python notebook file, and a step-by-step application note.
Project Request page to reach us; our team will carry out the analysis on your behalf.
We respond within 24 hours of your submission, then schedule a free pre-call and present you with a custom program and quote.

Analizus provides statistics training, SPSS training, and Python data analysis training for academic researchers and corporate teams. A broad curriculum — from scale development, reliability-validity analysis, bibliometric analysis, and systematic literature review to machine learning and deep learning — is taught using the participant's own thesis or company data. Sessions are live, one-on-one or small group; by the end you keep lasting materials — the dataset used, code file, and application notes.

Not sure which training suits you? Let's start with a free 20-minute pre-call.

Create Training Request

We respond to requests within 24 hours.

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