Minitab for Beginners Training Course

This instructor-led, live training in Uzbekistan (online or onsite) is aimed at intermediate-level advanced R users who wish to use R to build faster workflows, improve code quality, and handle more complex analysis tasks.

By the end of this training, participants will be able to: create reusable functions, improve data workflows, debug and optimize code, and produce reproducible reports.

This instructor-led, live training in Uzbekistan (online or onsite) is aimed at business analysts who wish to automate trading using algorithmic methods, Python, and R.

By the end of this training, participants will be able to:

• Use algorithms to buy and sell securities rapidly at specialized increments.
• Reduce trading-related costs through the use of algorithmic trading.
• Automatically monitor stock prices and execute trades.

The term 'Big Data' refers to solutions designed for the storage and processing of extensive data sets. Initially developed by Google, these Big Data solutions have evolved and inspired numerous similar initiatives, many of which are available as open-source projects. R is a widely adopted programming language within the financial industry.

This instructor-led live training in Uzbekistan (online or onsite) is aimed at beginner-level data analysts who wish to use R programming to manipulate data, perform basic data analysis, and create compelling visualizations for insights.

By the end of this training, participants will be able to:

• Understand the basics of R Programming.
• Apply fundamental data science processes.
• Create visual representations of data.

R is an open-source, free programming language designed for statistical computing, data analysis, and graphical visualization. An increasing number of managers and data analysts across corporations and academic institutions rely on R. It has also gained popularity among statisticians, engineers, and scientists who lack formal programming skills but find the language intuitive and easy to use. R's growing adoption is driven by the rising demand for data mining to achieve diverse objectives, such as optimizing advertising prices, accelerating drug discovery, and refining financial models. The language offers a vast ecosystem of packages tailored for data mining tasks.

This instructor-led, live training in Uzbekistan (online or onsite) is designed for data analysts who wish to program using R within SAS to perform cluster analysis.

By the end of this training, participants will be able to:

• Apply cluster analysis for data mining purposes.
• Master R syntax for developing clustering solutions.
• Implement both hierarchical and non-hierarchical clustering techniques.
• Make data-driven decisions to enhance business operations.

In today's business landscape, data analytics is an indispensable tool. This course prioritizes the development of practical, hands-on skills for effective data analysis. Its primary goal is to empower participants to provide evidence-based answers to critical questions:

What has happened?

• processing and analyzing data
• producing informative data visualizations

What will happen?

• forecasting future performance
• evaluating forecasts

What should happen?

• turning data into evidence-based business decisions
• optimizing processes

This instructor-led, live training in Uzbekistan (online or onsite) is aimed at beginner-level professionals who wish to clean and analyze data, make statistical projections, and create insightful visualizations using these tools.

By the end of this training, participants will be able to:

• Understand the basics of Python, R, Power Query, and Power BI for data analysis.
• Clean and organize datasets using Python and Power Query.
• Perform statistical analysis and projections with R.
• Create professional dashboards and reports with Power BI.
• Integrate and analyze data from multiple sources effectively.

R is a widely adopted, open-source environment for statistical computing, data analytics, and graphics. This course introduces students to the R programming language, covering its fundamentals, essential libraries, and advanced concepts. Participants will explore advanced data analytics and visualization techniques using real-world datasets.

Target Audience

Developers and data analysts

Duration

3 days

Format

Lectures combined with hands-on practical sessions

This instructor-led, live training in Uzbekistan (online or onsite) is designed for individuals seeking to learn and master the fundamentals of econometric analysis and modeling.

Upon completing this training, participants will be able to:

• Acquire and comprehend the core principles of econometrics.
• Effectively utilize Eviews and risk simulators.

This instructor-led, live training in Uzbekistan (online or onsite) is aimed at intermediate-level data analysts and business professionals who wish to perform time series forecasting and automate data analysis workflows using R.

By the end of this training, participants will be able to:

• Understand the fundamentals of forecasting techniques in R.
• Apply exponential smoothing and ARIMA models for time series analysis.
• Utilize the ‘forecast’ package to generate accurate forecasting models.
• Automate forecasting workflows for business and research applications.

This instructor-led, live training (online or onsite) is aimed at HR professionals who wish to use analytical methods to improve organisational performance. This course covers qualitative as well as quantitative, empirical and statistical approaches.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Target Audience

This course is designed for analysts and forecasters looking to introduce or enhance their forecasting capabilities in areas such as sales forecasting, economic forecasting, technology forecasting, supply chain management, and demand or supply forecasting.

Course Description

This program guides participants through various methodologies, frameworks, and algorithms that are valuable for predicting future trends based on historical data.

It utilizes standard tools such as Microsoft Excel or open-source software (particularly the R programming language).

The principles taught in this course can be applied using any compatible software (e.g., SAS, SPSS, Statistica, MINITAB, etc.).

This instructor-led, live training in Uzbekistan (online or onsite) is aimed at beginner-level to intermediate-level professionals who wish to perform statistical analysis using SPSS to interpret data accurately, run complex statistical tests, and generate meaningful insights.

By the end of this training, participants will be able to:

• Navigate the SPSS interface and manage datasets efficiently.
• Perform descriptive and inferential statistical analyses.
• Conduct t-tests, ANOVA, MANOVA, regression, and correlation analyses.
• Apply non-parametric tests, principal component analysis, and factor analysis for advanced data interpretation.

Target Audience

Course Format

Upon completion of this training, participants will be able to:

This instructor-led, live training guides participants through the process of manipulating and visualizing data using the tools provided by the Tidyverse.

The Tidyverse is a comprehensive collection of powerful R packages designed for cleaning, processing, modeling, and visualizing data. Key packages included in the Tidyverse are: ggplot2, dplyr, tidyr, readr, purrr, and tibble.

• Beginners to the R language
• Beginners to data analysis and data visualization

• A blend of lectures, discussions, exercises, and extensive hands-on practice

• Perform data analysis and create compelling visualizations
• Draw actionable insights from various sample datasets
• Filter, sort, and summarize data to answer exploratory questions
• Convert processed data into informative line plots, bar plots, and histograms
• Import and filter data from diverse sources, including Excel, CSV, and SPSS files