Overview of Analytics Course in Riyadh

Riyadh, the capital city of Saudi Arabia, has been experiencing a significant growth in terms of technological advancements and digitalization in recent years. The need for data-driven decisions has become increasingly important in both the public and private sectors, making analytics a highly valuable skillset in the region. Consequently, several institutions in Riyadh offer courses in analytics, specifically using R, a popular statistical programming language. Analytics courses in Riyadh using R are designed to equip students with practical skills for analyzing and interpreting data, creating visualizations, and making informed decisions. These courses are not limited to students with prior programming experience, as they cover a wide range of topics, from basic programming concepts to advanced statistical methodologies. One institution offering an analytics course in Riyadh is the Saudi Digital Academy. The academy provides online courses in analytics, using R, that can be taken by anyone with a working internet connection, regardless of their location. Their courses are designed to be practical, allowing students to apply the skills they learn to real-life situations. The academy organizes regular webinars where students can interact with professionals in the field and network with other students. Another institute providing analytics course in Riyadh is The Data Science Academy. The academy offers a comprehensive curriculum covering fundamental programming skills, machine learning algorithms, and data visualization techniques. The courses are offered in both in-person and online formats, allowing students to choose a preferred learning style. The academy also offers customized corporate training programs tailored to the needs of organizations in Riyadh and the surrounding regions. Additionally, a popular institution offering analytics courses in Riyadh is the Institute of Information Management (IIM). The IIM offers a range of courses in analytics, including R programming, data visualization, and statistical modeling. The courses cover both theoretical and practical aspects of analytics, preparing students to apply the techniques to real-world scenarios. The IIM also offers certification programs in analytics, which can help students to enhance their employability. Further, the Analytics Academy Arabia is another institution arising in Riyadh that provides data science and analytics courses, including R programming. Their courses are designed to equip students with practical skills, allowing them to use R for data wrangling, data visualization, and exploratory data analysis. The academy also offers corporate training programs customized to specific organizations' needs, helping companies to upskill their employees' analytical capabilities. In conclusion, the demand for data-driven decisions has led to an increasing need for analytics skills in Riyadh. There are various institutions and academies in Riyadh that offer comprehensive courses in analytics, including the use of R programming language. These courses are designed to equip students with practical skills for analyzing and interpreting data, creating visualizations, and making informed decisions. The courses range from entry-level to advanced, making them suitable for both beginners and professionals looking to upskill. Overall, pursuing an analytics course in Riyadh is a wise investment for anyone seeking to expand their analytical capabilities and to enhance their career prospects.
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Course Duration

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Internship

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Live Training

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Career Assistance

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Skillfloor Course Training Process
Skillfloor Course Training Process

Internship Certificate

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Completing this Analytics Course certifies your proficiency in data analysis, statistical methods, and essential analytics tools. This certification shows you can transform raw data into actionable insights, improving decision-making in various business contexts. It indicates your understanding of data visualization, predictive modelling, and data-driven strategy development, providing you with the skills to excel in analytics. This credential reflects your dedication to continuous learning and commitment to leveraging data for strategic advantage.

Analytics Tools Covered

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Why Choose SKILLFLOOR for Analytics in Riyadh?

Why Course Training in Skillfloor

Syllabus

- Overview of data analysis and its importance in business

- Types of analytics: Descriptive, Predictive, Prescriptive

- Role of data in decision-making processes

- Introduction to common tools: Tableau, PowerBI, Excel

- Ethical considerations in data collection and analysis

- Data sources: Primary and secondary data

- Data collection methods (surveys, web scraping, databases)

- Data cleaning techniques (handling missing values, outliers)

- Data transformation and feature engineering

- Data storage concepts (structured vs. unstructured data)

- Descriptive statistics: Mean, median, mode

- Data visualization basics (histograms, scatter plots)

- Identifying data patterns and trends

- Outlier detection and handling methods

- Correlation and causation analysis

- Inferential statistics and probability theory

- Hypothesis testing (t-tests, chi-square tests, ANOVA)

- Measures of central tendency and variability

- Confidence intervals and margin of error

- Regression analysis: Linear and logistic regression

- Principles of effective data visualization

- Types of charts and their uses (bar, line, pie, heatmaps)

- Designing dashboards for different audiences

- Interactive visualization techniques

- Data storytelling for impactful presentations

- Time series analysis and forecasting methods

- Clustering and segmentation analysis

- Decision trees and classification techniques

- Introduction to machine learning in business analytics

- Model evaluation and selection

- Basics of SQL for data manipulation

- Creating databases and relationships

- Aggregating data with SQL (GROUP BY, JOIN)

- Data modeling for business intelligence (star and snowflake schemas)

- Case study: Building a business model with SQL

- Connecting and preparing data in Tableau

- Creating basic visualizations (charts, maps)

- Advanced Tableau functions (LOD calculations, table calculations)

- Building interactive dashboards and stories

- Publishing and sharing visualizations on Tableau Server/Online

- Introduction to PowerBI workspace and components

- Data import and transformation with Power Query

- Data modeling and relationships in PowerBI

- Creating and customizing visualizations

- Publishing and collaborating on PowerBI Service

- Selecting a real-world dataset for analysis

- Defining business questions and objectives

- Conducting data analysis and visualization

- Presenting findings in a comprehensive dashboard

- Peer review and feedback on project

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