Overview of Analytics Course in Doha

As the use of data becomes more important in businesses across industries, the demand for skills in data analytics is on the rise. Doha, the capital city of Qatar, is no exception to this trend. Numerous companies and organizations in Doha are seeking professionals with expertise in analytics, making it an excellent place to pursue education in this field. Educational institutions in Doha offer a variety of analytics courses catering to different levels of expertise and interests. These courses range from basic introductory courses to full-fledged master’s degrees in analytics, data science, and business intelligence. Some of the notable institutions in Doha offering analytics courses include Carnegie Mellon University, Texas A&M University, Qatar University, and the University of Qatar. One of the prominent analytics courses offered in Doha is an MBA with a specialization in Business Analytics. This course is designed to equip students with the skills and knowledge required to analyze information, interpret data, and make data-driven decisions. Students in this program gain a deep understanding of business intelligence concepts, data mining, and predictive analytics, among other skills. Another popular course is the Executive Master's in Business Administration (EMBA) with a concentration in Business Analytics. This degree is tailored to experienced professionals who want to enhance their skills in analytics and business intelligence. In this course, students learn to use data analytics to solve business problems, and they apply these skills to real-world scenarios. For those who prefer a more focused approach, several schools in Doha offer graduate programs specifically in data science and analytics. Students in these Master's programs learn to use data to inform decisions across multiple industries, including health care, finance, marketing, and more. Data science and analytics programs provide students with a comprehensive understanding of data modeling, big data, and machine learning, among other skills. In addition to traditional degree programs, there are also plenty of short-term and online courses available in Doha for working professionals who want to enhance their analytics skills. Professionals can also participate in workshops and seminars organized by various institutions in Doha, to improve their knowledge of emerging trends in analytics. A career in analytics offers several benefits, including a high earning potential and the opportunity to work in a variety of industries. Graduates with expertise in analytics are in high demand in Doha, as businesses look for ways to leverage data to improve their performance. In conclusion, pursuing a course in analytics in Doha is an excellent career move for professionals looking to upskill or change their career path. The variety of courses, from foundational to advanced, and the numerous educational institutions make it easy for learners to find the perfect fit for their learning goals and preferences. With the growing demand for data analytics professionals, a course in analytics in Doha could be a valuable investment in a student's future career.
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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 Doha?

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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