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The data analyst course in Dubai, provided by Zabeel Institute, is an advanced, multifaceted program designed to equip professionals with the essential skills required to excel in the business intelligence domain. This course covers six key modules, including Database Engineering, Programming, Machine Learning, Deep Learning, Big Data, and Data Visualization.
It provides an in-depth understanding of a wide range of tools and technologies, such as Oracle, Python, TensorFlow, and Tableau, among others. With a total of 30 hours of training, this course aims to produce well-rounded Data Analyst Engineers capable of handling complex data challenges. agement Course in Dubai, Sharjah & Abu Dhabi
Learning Outcomes
By the end of this data analyst course in Dubai, participants will be able to:
Understand Various Data Sources: Gain expertise in handling databases like Oracle, MySQL, Cassandra, and more.
Data Cleaning and Transformation: Master techniques for data wrangling and transformation using advanced SQL queries.
Programming Proficiency: Become adept at using programming languages like Python, R, and Java for data analysis.
Machine Learning Skills: Understand and apply various machine learning algorithms, including supervised and unsupervised learning.
Deep Learning Fundamentals: Get acquainted with deep learning frameworks like TensorFlow and PyTorch and understand neural network architectures.
Big Data Management: Gain a solid foundation in big data architectures and tools such as Apache Spark and Hive.
Data Visualization: Acquire skills in data visualization tools like Tableau and Power BI and understand the best practices for visualizing data.
Who Needs This Course?
This Level 2 - Data Analyst course, offered by Zabeel Institute, is ideal for:
Data Analysts: Looking to deepen their skills and move into a more specialized role.
Database Administrators: Interested in expanding their data engineering and machine learning capabilities.
Data Science Enthusiasts: Who wants to get a comprehensive understanding of data science components from data wrangling to machine learning?
Software Developers: Seeking to transition into data engineering or data science roles.
IT Professionals: Wanting to upskill in the realm of data science and big data management.
Business Analysts: Looking to better understand data science for more effective data-driven decision-making.
Academic Researchers: Interested in leveraging data science for scholarly work and research.
Course Content
The Level 2 - Data Analyst course at Zabeel Institute is a comprehensive program divided into six modules, each focusing on a crucial area of data science and data engineering.
Module 1: Database Engineering Knowledge
Understanding Data Sources: Oracle, MySQL, Cassandra, MariaDB, Microsoft SQL Server, PostgreSQL, MongoDB, Apache Kafka
To know more about other courses in IT Academy, click here.
FAQs
Who is this course ideal for?
This course is perfect for aspiring data analysts, data engineers, and anyone interested in transitioning into the data science field.
Are there any prerequisites for this course?
There are no formal prerequisites, but a basic understanding of programming and data concepts would be beneficial.
What tools and technologies will be covered?
The course covers a range of technologies including SQL, Python, R, Tableau, Power BI, and various Big Data tools like Apache Spark and Hive.
Is this course only theoretical?
No, the course includes hands-on training and practical exercises to help you understand the real-world applications of the concepts taught.
How long is the course duration?
The course is designed to be comprehensive and covers various modules in approximately 28 hours of training.
Are there any additional resources provided?
Yes, you will have access to course material, and online resources to further your learning.
Is there a certification exam at the end of the course?
No, there is no certification exam, but you will receive a course completion certificate from Zabeel Institute or from KDHA.
What is the next step after completing this course?
After completing this course, you can consider advancing to more specialized fields within data science, such as machine learning or artificial intelligence.
