Data Analyst Course in Dubai


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  1. Discover the power of data analysis with our Data Analyst Course in Dubai. Master the skills to make data-driven decisions. Enroll today!
  2. Overview
  3. 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.
  4. 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.
  5. Learning Outcomes
  6. By the end of this data analyst course in Dubai, participants will be able to:
  7. Understand Various Data Sources: Gain expertise in handling databases like Oracle, MySQL, Cassandra, and more.
  8. Data Cleaning and Transformation: Master techniques for data wrangling and transformation using advanced SQL queries.
  9. Programming Proficiency: Become adept at using programming languages like Python, R, and Java for data analysis.
  10. Machine Learning Skills: Understand and apply various machine learning algorithms, including supervised and unsupervised learning.
  11. Deep Learning Fundamentals: Get acquainted with deep learning frameworks like TensorFlow and PyTorch and understand neural network architectures.
  12. Big Data Management: Gain a solid foundation in big data architectures and tools such as Apache Spark and Hive.
  13. Data Visualization: Acquire skills in data visualization tools like Tableau and Power BI and understand the best practices for visualizing data.
  14. Who Needs This Course?
  15. This Level 2 - Data Analyst course, offered by Zabeel Institute, is ideal for:
  16. Data Analysts: Looking to deepen their skills and move into a more specialized role.
  17. Database Administrators: Interested in expanding their data engineering and machine learning capabilities.
  18. Data Science Enthusiasts: Who wants to get a comprehensive understanding of data science components from data wrangling to machine learning?
  19. Software Developers: Seeking to transition into data engineering or data science roles.
  20. IT Professionals: Wanting to upskill in the realm of data science and big data management.
  21. Business Analysts: Looking to better understand data science for more effective data-driven decision-making.
  22. Academic Researchers: Interested in leveraging data science for scholarly work and research.
  23. Course Content
  24. 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.
  25. Module 1: Database Engineering Knowledge
  26. Understanding Data Sources: Oracle, MySQL, Cassandra, MariaDB, Microsoft SQL Server, PostgreSQL, MongoDB, Apache Kafka
  27. Techniques for Data Cleaning and Transformation
  28. Overview of Data Science Applications for Data Wrangling
  29. Advanced-Data Wrangling using SQL Queries
  30. Module 2: Programming Knowledge
  31. Comparing Python, R, G, Java, Scala, and Julia Programming Languages
  32. Libraries and Packages for Data Analysis
  33. Programming Best Practices for Data Science
  34. Debugging and Error Handling in Data Analysis Code
  35. Module 3: Machine Learning Knowledge
  36. Introduction to Supervised Learning Algorithms
  37. Fundamentals of Unsupervised Learning
  38. A Deep Dive into Reinforcement Learning
  39. Best Practices for Model Validation and Performance Metrics
  40. Module 4: Deep Learning Knowledge
  41. Getting Started with TensorFlow, PyTorch, Caffe, MXNet, and Chainer
  42. Building Artificial Neural Networks
  43. Understanding Deep Belief Networks
  44. Introduction to Generative Adversarial Networks
  45. Module 5: Big Data Knowledge
  46. Fundamentals of Big Data Architectures
  47. Big Data Tools and Technologies: Apache Spark, Apache Flink, Hive, Apache Storm
  48. Big Data in the Context of Data Science
  49. Challenges and Solutions for Big Data Management
  50. Module 6: Data Visualization Knowledge
  51. Introduction to Tableau and Power BI for Data Visualization
  52. Comparative Analysis of Tableau vs. Power BI
  53. Best Practices for Data Visualization
  54. Please visit here for more information: https://zabeelinstitute.ae/data-analyst-course-in-dubai/
  55. Business Name:
  56. Zabeel International Institute of Management and Technology
  57. Business Email Address:
  58. sijo@zabeelinstitute.ae
  59. Address/Location          
  60. Office no# M 07, AL Khallafi Building, Near Burjuman Metro Station, Bur Dubai, Dubai, UAE
  61. Postal Code/Zip Code: 117514
  62. State/Country Dubai, United Arab Emirates
  63. Business Telephone Number:
  64. 00971 505258501

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