Data Analysis Boot Camp Training in Kazakhstan

  • Learn via: Online Instructor-Led / Classroom Based / Onsite
  • Duration: 3 Days
  • Price: From €2,333+VAT
  • Upcoming Date:
  • UK Based Global Training Provider
Learn practical, hands-on data analysis skills.

This three-day course, organized into key topic areas, leverages straightforward business examples to explain practical techniques for understanding and reviewing data quality. You will learn how to make more informed, intelligent business decisions by analyzing data using Excel functions and the R programming language.


You will get an overview of data quality and data management, followed by foundational analysis and statistical techniques. Throughout the course, you will learn to communicate about data and findings to stakeholders who need to quickly make decisions that drive your organization forward.


In–Class Exercises, Demos, and Real-World Case Studies


This data analyst training class is a lively blend of expert instruction combined with hands-on exercises so you can practice new skills. Leave prepared to start performing practical analysis techniques the moment you return to work. Every Data Analysis Boot Camp instructor is a veteran consultant and data guru who will guide you through effective best practices and easily accessible technologies for working with your data. Through a combination of demonstrations and hands-on practice, you will learn to use data analysis techniques, which are typically the domain of expensive consultants.


*Please note, if you are taking this class as part of the St. Louis University Certificate requirements, there is a $500 fee to claim your certificate once you have completed ALL requirements.



Who Should Attend?

This data analysis training course is designed for the following professions:

  • Business Analyst, Business Systems Analyst, CBAP, CCBA
  • Systems, Operations Research, Marketing, and other Analysts
  • Project Manager, Program Manager, Team Leader, PMP, CAPM
  • Data Modelers and Administrators, DBAs
  • IT Manager, Director, VP
  • Finance Manager, Director, VP
  • Operations Supervisor, Manager, Director, VP
  • Risk Managers, Operations Risk Professionals
  • Process Improvement, Audit, Internal Consultants and Staff
  • Executives exploring cost reduction and process improvement options
  • Job seekers and those who want to show dedication to process improvement
  • Senior staff who make or recommend decisions to executives
We can organize this training at your preferred date and location. Contact Us!

HAVELSAN
ASELSAN
PepsiCo Türkiye
JTI TÜTÜN ÜRÜNLERİ SANAYİ A.Ş.
ING Bank
DHL
MASTERCARD
Huawei
TotalEnergies
Mercedes-Benz Türk A.Ş.
Goodyear
FORD OTOMOTIV SANAYI A.S.
3M COMPANY
Schneider Electric
Central Bank of Azerbaijan
BP Petrolleri
Procter & Gamble (P&G)
Qatar Foundation
Bank Of China
GlaxoSmithKline (GSK)
MORGAN STANLEY & CO Inc
Novo Nordisk
DEUTSCHE BANK
Azerbaycan Cumhuriyeti Emek ve Ahalinin Sosyal Güvenliği Bakanlığı
ACCENTURE

What You Will Learn

  • Identify opportunities, manage change and develop deep visibility into your organization
  • Understand the terminology and jargon of analytics, business intelligence, and statistics
  • Learn a wealth of practical applications for applying data analysis capability
  • Visualize both data and the results of your analysis for straightforward graphical presentation to stakeholders
  • Learn to estimate more accurately than ever, while accounting for variance, error, and Confidence Intervals
  • Practice creating a valuable array of plots and charts to reveal hidden trends and patterns in your data
  • Differentiate between "signal" and "noise" in your data
  • Understand and leverage different distribution models, and how each applies in the real world
  • Form and test hypotheses – use multiple methods to define and interpret useful predictions
  • Learn about statistical inference and drawing conclusions about the population

Training Outline

Part 1: Data Fundamentals


1. Course Overview and Level Set

  • Objectives of the Class
  • Expectations for the Class

2. Understanding “Real-World” Data

  • Unstructured vs. Structured
  • Relationships
  • Outliers
  • Data growth

3. Types of Data

  • Flavors of Data
  • Sources of Data
  • Internal vs. External Data
  • Time Scope of Data (Lagging, Current, Leading)

4. LAB: Get Started with our Classroom Data


5. Data-Related Risk

  • Common Identified Risks
  • Effect of Process on Results
  • Effect of Usage on Results
  • Opportunity Costs, Tool Investment
  • Mitigation of Risk

6. Data Quality

  • Cleansing
  • Duplicates
  • SSOT
  • Field standardization
  • Identify sparsely populated fields
  • How to fix common issues

7. LAB: Data Quality

Part 2: Analysis Foundations


1. Statistical Practices: Overview

  • Comparing Programs and Tools
  • Words in English vs. Data
  • Concepts Specific to Data Analysis
  • Domains of Data Analysis
  • Descriptive Statistics
  • Inferential Statistics
  • Analytical Mindset
  • Describing and Solving Problems

Part 3: Analyzing Data


1. Averages in Data

  • Mean
  • Median
  • Mode
  • Range

2. Central Tendency

  • Variance
  • Standard Deviation
  • Sigma Values
  • Percentiles
  • Use Concepts for Estimating

3. LAB: Hands-On – Central Tendency

4. Analytical Graphics for Data


5. Categorical

  • Bar Charts

6. Continuous

  • Histograms

7. Time Series

  • Line Charts

8. Bivariate Data

  • Scatter Plots

9. Distribution

  • Box Plot

Part 4: Analytics & Modeling


1. Overview of Commonly Useful Distributions

  • Probability Distribution
  • Cumulative Distribution
  • Bimodal Distributions
  • Skewness of Data
  • Pareto Distribution
  • Correlation
  • LAB: Distributions
  • Predictive Analytics
  • A Discussion about Patterns
  • Regression and Time Series for Prediction
  • LAB: Hands-On – Linear Regression
  • Simulation
  • Pseudo-random Sequences
  • Monte Carlo Analysis
  • Demo / Lab: Monte Carlo in Excel

2. Understanding Clustering

3. Segmentation


4. Common Algorithms


5. K-MEANS

Part 5: Hands-On Introduction to R and R Studio


1. R Basics


2. Descriptive Statistics


3. Importing and Manipulating Data


4. R Scripting


5. Data Visualization with R


6. Regression in R


7. K-MEANS in R


8. Monte Carlo in R


9. Demo/Lab: Hands-on R work

Part 6: Visualizing & Presenting Data


1. Goals of Visualization

  • Communication and Narrative
  • Decision Enablement
  • Critical Characteristics

2. Visualization Essentials

  • Users and Stakeholders
  • Stakeholder Cheat Sheet
  • Common Missteps

3. Communicating Data-Driven Knowledge

  • Alerting and Trending
  • To Self-Serve or Not
  • Formats & Presentation Tools
  • Design Considerations

Why Choose Us

Experience live, interactive learning from the comfort of your home or office with Bilginç IT Academy's Online Instructor-Led Data Analysis Boot Camp Training in Kazakhstan. Engage directly with expert trainers in a virtual environment that mirrors the energy and schedule of a physical classroom.

  • Live Sessions: Join scheduled classes with a live instructor and other delegates in real-time.
  • Interactive Experience: Engage in group activities, hands-on labs, and direct Q&A sessions with your trainer and peers.
  • Global Expert Trainers: Learn from a handpicked global pool of expert trainers with deep industry experience.
  • Proven Expertise: Benefit from over 30 years of quality training experience, equipping you with lasting skills for success.
  • Scalable Delivery: Accessible worldwide, including Kazakhstan, with flexible scheduling to meet your professional needs.

Immerse yourself in our most sought-after learning style for Data Analysis Boot Camp Training in Kazakhstan. Our hand-picked classroom venues in Kazakhstan offer an invaluable human touch, providing a focused and interactive environment for professional growth.

  • Highly Experienced Trainers: Boost your skills with trainers boasting 10-20+ years of real-world experience.
  • State-of-the-Art Venues: Learn in high-standard facilities designed to ensure a comfortable and distraction-free experience.
  • Small Class Sizes: Our limited class sizes foster meaningful discussions and a personalized learning journey.
  • Best Value: Achieve your certification with high-quality training and competitive pricing.

Streamline your organization's training requirements with Bilginç IT Academy’s Onsite Data Analysis Boot Camp Training in Kazakhstan. Experience expert-led learning at your own business premises, tailored to your corporate goals.

  • Tailored Learning Experience: Customize the training content to fit your unique business projects or specific technical needs.
  • Maximize Training Budget: Eliminate travel and accommodation costs, focusing your entire budget on the training itself.
  • Team Building Opportunity: Enhance team bonding and collaboration through shared learning experiences in your workspace.
  • Progress Monitoring: Track and evaluate your employees' progression and performance with relative ease and direct oversight.
Contact us for more detail about our trainings and for all other enquiries!

Data Analysis Boot Camp Training Course in Kazakhstan Schedule

Join our public courses in our Kazakhstan facilities. Private class trainings will be organized at the location of your preference, according to your schedule.

We can organize this training at your preferred date and location.
31 мамыр 2026 (3 Days)
Almaty, Astana, Shymkent
€2,333 +VAT
15 маусым 2026 (3 Days)
Almaty, Astana, Shymkent
€2,333 +VAT
05 шілде 2026 (3 Days)
Almaty, Astana, Shymkent
€2,333 +VAT
05 қыркүйек 2026 (3 Days)
Almaty, Astana, Shymkent
€2,333 +VAT
24 қыркүйек 2026 (3 Days)
Almaty, Astana, Shymkent
€2,333 +VAT
13 қазан 2026 (3 Days)
Almaty, Astana, Shymkent
€2,333 +VAT
20 қазан 2026 (3 Days)
Almaty, Astana, Shymkent
€2,333 +VAT
15 қараша 2026 (3 Days)
Almaty, Astana, Shymkent
€2,333 +VAT

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Kazakhstan stands as the preeminent technological and financial powerhouse of Central Asia, with the dynamic cities of Almaty and Astana serving as global magnets for innovation. The country is home to the Astana Hub, an international tech startup center, and Nazarbayev University, both of which are at the forefront of pioneering research in Artificial Intelligence, Blockchain, and Big Data analytics. Kazakhstan has achieved worldwide recognition for its advancements in digital mining and financial technologies, supported by a national strategy that prioritizes high-quality IT education and continuous professional development. Our comprehensive training programs are strategically designed to empower professionals in Kazakhstan to master complex corporate systems and lead large-scale digital innovation processes. By bridging the gap between local talent and global industry standards, we ensure that the Kazakh workforce remains highly competitive in the rapidly evolving Eurasian digital economy.

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