Data Analytics Course in Qatar

Overview of Data Analytics Training in Qatar

In our ever-evolving digital world, data analytics is the key to unlocking valuable insights that can give businesses an edge in their respective industries. Organizations can make smarter decisions about marketing strategies and operations by analyzing customer information and trends over time, ultimately improving overall efficiency and profitability. Data analytics provides a comprehensive overview of customers’ behaviors allowing companies to fully understand how they interact with products/services while uncovering what drives successful outcomes.

Our comprehensive Data Analytics program at Edoxi Training institute will provide you with abundant knowledge and up-to-date industry techniques, enabling you to optimize your data analytics capabilities. Get trained by our highly experienced professionals and leverage their first-hand industry expertise to gain proficiency in artificial intelligence tools, predictive modeling methods, data visualization principles, and more. This course is designed to prepare you for the future of data analytics, incorporate cutting-edge skills into your portfolio and make yourself stand out from the crowd. Develop your technical prowess today and think beyond tomorrow with Edoxi Training Institute’s Data Analytics Course.

Data Analytics Courses in Qatar

 Here are the top Data Analytics Courses in Qatar.

Data Analytics Course Highlights

• Benefit from expert instruction and a deep understanding of concepts to confidently pass your certification exam.
• Choose the class schedule that works best for you - weekday or weekend options are available.
• Stay up-to-date with the latest course outlines and industry developments through our certification program.
• Enhance your exam preparation with a comprehensive set of up to 5 mock tests.

Data Analytics Course Features

• 8 Hours Of Interactive Online Training:Unleash your potential and become an expert quickly with our interactive online training. This course will take you from the basics to an advanced level of understanding with efficiency and comprehensiveness.
• 5 Mock Tests To Help You Prepare For The Final Examination:No need to feel the pressure of the final examination. This program offers five comprehensive mock tests designed to sharpen your skills and provide an effective way for you to prove yourself ready.
• Interactive Learning Through Classroom/Online Mode:Learn essential industry skills through our interactive data analytics course. Our tutorials and lectures by leading professionals offer insightful guidance on developing real-world applications.
• Get Hands-On Experience With Project-Based Learning:Get crucial hands-on experience and jumpstart your data analytics career with our innovative project-based learning course. Each lecture is tailored to help you reach your career goals. 
• Curriculum Designed By Experienced Professionals:Our curriculum is designed to ensure you learn essential knowledge quickly and easily. We’ve gathered some of the best minds in the industry so that their experience can benefit your success.
• Get A Globally Recognized Certificate On Successful Completion:Our experts provide the guidance you need to become proficient in basic and advanced concepts. Enhance your skillset with an internationally recognized certificate upon successful course completion.

Data Analytics Course Module

• Module 1: Python Fundamentals
• Introduction to Python and its applications.
• Setting up the Python development environment.
• Basic syntax and data types in Python.
• Control flow and conditional statements.
• Looping structures and iterations.
• Functions and modules.
• File input/output operations.
• Exception handling and error management.
• Module 2: Python Advanced Concepts
• Object-oriented programming (OOP) in Python.
• Classes, objects, and inheritance.
• Working with libraries and modules (e.g., NumPy, Pandas, Matplotlib).
• Dataframe basics.
• Reading data from CSV/excel files.
• Data cleaning and filtering.
• Handling missing data.
• Group by, Concat, Merge.
• Data manipulation and analysis using Python libraries.
• Introduction to data visualization with Python.
• Matplotlib, Seaborn and Plotly.
• Module 3: MySQL Database Management
• Introduction to relational databases and MySQL.
• Installing and setting up the MySQL server.
• Statement Fundamentals.
• Creating databases and tables.
• Data types, constraints, and indexes.
• SQL queries: SELECT, INSERT, UPDATE, DELETE.
• Joins, sub-queries, and aggregations.
• CTE and Windows functions.
• Stored procedures.
• Module 4: Power BI
• Introduction to Power BI and its features.
• Importing data into Power BI.
• Data transformation and shaping using Power Query.
• Data modelling and relationships.
• Creating calculated columns and measures.
• Designing interactive reports and dashboards.
• Adding visuals and customizing their properties.
• Sharing and publishing reports on Power BI.
• Module 5: Statistics for Data Science
• Introduction to statistical concepts and terminologies.
• Descriptive statistics: measures of central tendency and variability.
• Probability distributions: discrete and continuous distributions.
• Hypothesis testing and statistical significance.
• Correlation and regression analysis.
• Introduction to ANOVA (Analysis of Variance).
• Module 6: Data Science
• Understanding the data science workflow.
• Data acquisition and data cleaning techniques.
• Exploratory data analysis (EDA) and data visualization.
• Supervised and unsupervised machine learning algorithms.
• Model evaluation and performance metrics.
• Introduction to natural language processing (NLP).
• Introduction to deep learning and neural networks.