Course Objective
This course aims to develop core competencies in data analysis using Python and Power BI. Learners will gain hands-on experience in data processing, Big Data analytics and advance visualization.The program prepares participants for entry-level Data Analyst roles in industry.
Suitable For
It is suitable for individuals looking to upskill in data analysis using Python and Power BI for better career opportunities. This course is ideal for job seekers, professionals, and entrepreneurs who want to work as data analyst and make data-driven decisions.
Ambeone’s Data Analyst Course in Dubai provides clarity & understanding on how to use Power BI and Python with hands on practice and projects for advance Data Analytics and Data Visualizations for understanding business performance in real time for Decision Making.
In today’s data-driven world, organizations rely heavily on data to make strategic decisions. Python and Power BI play a crucial role in this process by providing powerful tools for collecting, processing, analyzing, and presenting data. Python is a highly versatile programming language used for data cleaning, statistical analysis, automation, and predictive modeling. Its rich ecosystem of libraries such as Pandas, NumPy, and Matplotlib allows analysts to handle large datasets efficiently and extract meaningful insights.
Power BI complements Python by converting analytical results into visually compelling dashboards and reports. It enables businesses to monitor performance, identify trends, and communicate insights clearly across teams. The integration of Python with Power BI enhances analytical capabilities, allowing advanced data analysis and automation within interactive visual reports.
Together, they form a complete data analytics solution that improves productivity, supports smarter decisions, and creates strong career opportunities in the growing field of data analytics.
That’s why Ambeone has launched this comprehensive Data Analyst Program with Power BI and Python — to equip learners with industry-relevant skills, hands-on experience, and the confidence needed to succeed in today’s competitive job market.
Topics covered in Data Analyst Program
This course covers our Level 2 and Level 5 of our Nine Level AI and Data Science Series
1.Introduction to Data Analytics
Understanding data analytics, roles of a Data Analyst, types of data, data lifecycle, and business applications.
2.Statistics for Data Analysis
Descriptive statistics for understanding data , interpreting it and analysing.
3. Python for Data Analysis
Python basics, variables, loops, functions, NumPy, Pandas, data cleaning, data manipulation, and exploratory data analysis.
4. Data Visualization with Python
Using Matplotlib and Seaborn to create meaningful visualizations and insights.
5. Power BI Fundamentals
Introduction to Power BI, data loading, data modeling, transformations, and DAX functions.
6. Advanced Power BI & Dashboards
Interactive dashboards, reports, slicers, visuals, and performance optimization.
7. Real-World Projects & Case Studies
Hands-on projects using real datasets, business problem solving, and portfolio building.
8. Interview Preparation & Career Guidance
Resume building, mock interviews, technical questions, and job placement support.
This Data Analyst training program equips learners with the technical and analytical expertise required to transform data into actionable business insights. Participants will gain hands-on experience in building robust data analysis and visualization frameworks for performance management, quality assurance, and organizational growth. The course emphasizes KPI development, statistical analysis, and evidence-based decision-making for real-world business success.
Course Duration
13 Weeks of Instructor Led Sessions
+
20+ Hours of Case Studies & Assignments and Capstone Project
Course Format
7-8 Days Workshop for Corporate batches
or
13 Weekend Session for Public batches
Course Pre-requisite
No prior Coding experience is needed. However participants must have some familiarity with using data on Excel .
Course Details for Data Analyst Program
- Duration of the course is 52 hours of Instructor Led class room training with 24+ hours of self/group study & assignments.
- This course is offered as,
- 5-7 Day Intensive Boot-Camp.
- Evening Classes. Two 2-hour sessions a week for 13 weeks in the evenings
- Weekend Classes: Four Hours sessions on weekend for 13 weeks.
- As part of our Advance Program in Data Science and AI .
- We currently offer this course Dubai and Abu Dhabi.
- Checkout our course schedule more information.
- Participants must bring their own laptop with Microsoft Excel, Power BI or Tableau downloaded on it.
- All training topics covered in the course will be taught using relevant industry specific case studies and examples.
- This training course is very hands-on/practical and is not a lecture or seminar. Participants will be expected to complete exercises and case studies on their own with necessary support and guidance from the instructor.
Ambeone’s Nine Level AI and Data Science Series
| Level | Course Name | Know More |
|---|---|---|
| Level O -Base | AI Literacy & Productivity Courses. Using GenAI, LLM, ChatGPTs for Business Efficiency | Click here |
| Level I | Fundamental of Data Analytics & Interpretation ,Simple Measures of Data | Click here |
| Level II | Business Analytics with KPI Measurement using Statistics and Power BI/Tableau | Click here |
| Level III | Statistics for Data Analytics & Data Science | Click here |
| Level IV | Big Data Analytics & Visualization with R | Click here |
| Level V | Advanced Data Mining & Manipulation with Python | Click here |
| Level VI | Predictive Modeling & Evaluation with Machine Learning | Click here |
| Level VII | Advance Machine Learning and Artificial Intelligence with R & Python | Click here |
| Level VIII | Applied Analytics-Using Data Science & Machine Learning in Business Analytics | Click here |
| Level IX | Neural Network & Unsupervised Learning for Advanced AI | Click here |
Course Schedule for Data Analyst Training program
| Course | Course Format | Start Date | Duration | Register |
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