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Advance Data Science and Power BI Course

Advance Data Science and Power BI Course with Edify 2025

Published: Jul 15 2025
Data Science
Author

Advance data science and power BI is largest growing course in todays date Every business in the digital age depends on data to inform choices, forecast trends, and beat rivals. However, without experts who can model, analyse, and visualise it, raw data is worthless. Edify’s Advanced Data Science and Power BI course is useful in this situation. This course offers the ideal balance of theory and useful tools to help you learn modern analytics, whether you’re a student, professional seeking to advance your skills, or an aspiring data analyst.

What is Advance Data Science and Power BI?

Advance Data Science and Power BI

The comprehensive training Advance Data Science and Power BI teaches you how to use expert tools like Python and Microsoft Power BI to manipulate data, create prediction models, and visualise information.

Programming, statistics, and machine learning are all used in data science to comprehend and forecast future events. In contrast, Power BI is a Microsoft technology that is used all over the world to turn raw data into interactive dashboards and reports.

Combining the two provides you a competitive advantage in the marketplace and equips you for positions requiring both strategic and analytical thinking.

Why Choose Edify for Advance Data Science and Power BI?

Selecting the appropriate technical school is essential. Edify makes sure you’re prepared for the market right away by providing career-focused, industry-driven training in and Advance Data Science and power BI

Industry-Expert Trainers

Learn from experts who have practical experience with Power BI, machine learning, and data science.

Project-Based Curriculum

In addition to learning theory, you will work on practical projects that represent real world data sets and business issues.

Professional Certification

After finishing, obtain a certified certificate to improve your credibility on the job market and your resume.

Career Support

Get resume assistance, mock interviews, and job referrals after completing the course.

Course Content Breakdown

From fundamental programming to visual storytelling, Edify’s Advance Data Science and Power BI course aims to provide you with a comprehensive understanding of data analytics.

Module 1: Programming for Data Science

· Overview of Python

· Libraries: Matplotlib, Pandas, and NumPy

· Data transformation, filtering, and cleaning

Module 2: Statistics & Machine Learning

· Statistics and Probability

· Logistic and Linear Regression

· Models for Classification and Clustering

· Metrics for Model Evaluation

Module 3: Power BI Mastery

· Interface for Power BI and Import of Data

· Using DAX to Model Data

· Creating Reports and Dashboards

· Disseminating and Publishing Insights

Module 4: Capstone Projects

· Analysis of Market Baskets

· Machine Learning for Sales Forecasting

· Power BI-powered financial dashboard

· E-commerce Customer Segmentation

Assignments, case studies, and hands-on activities are incorporated into each module’s design to help you develop your confidence and employable abilities.

Benefits of Learning Advance Data Science and Power BI

This training equips you with abilities that transcend beyond job titles and help you handle actual business problems actually want to learn about advance data science and power BI . You’ll leave with the following:

· Career Growth

With demand for data professionals growing across every industry, roles like Data Analyst, BI Developer, and Data Scientist are not only in demand but also among the highest-paid in tech.

· In-Demand Tools

Learn how to use well-known programs that are utilised in real-world settings and are widely recognised, including as Python, SQL, and Power BI.

· Decision-Making Power

Make data-driven, well-informed decisions that increase an organization’s profitability, productivity, and efficiency.

· Portfolio Development

Display your abilities with a strong portfolio that includes ML models and actual business dashboards.

Who Should Take This Course?

Regardless of background, this course is designed for anyone who wishes to enter the world of data with confidence. Suitable participants consist of:

· Students at universities studying business or information technology

· Developers and Engineers of Software

· Analysts of Marketing

· Analysts of finances

· Entrepreneurs that want to base their decisions on data

A smooth learning curve is guaranteed by Edify’s course format, even if you have no prior knowledge of coding or analytics.

Job Opportunities After Course Completion

Several job options across sectors are made possible by the combination of advanced data science and power BI skills:

· Data Scientist

· Power BI Developer

· Business Intelligence Analyst

· Data Engineer

· Machine Learning Specialist

· Data Visualization Expert

To make better judgements, businesses all across the world, including governments, banks, hospitals, and IT giants, depend on data specialists.

The need for these specialists is growing in Pakistan, particularly in tech-heavy areas like Lahore, Islamabad, and Karachi.

Tools and Platforms Covered

Throughout the course, students will have practical experience with:

· Python for data manipulation and modeling

· SQL for querying databases

· Power BI for creating dashboards and reports

· Jupyter Notebook for code testing and documentation

· DAX (Data Analysis Expressions) for advanced calculations

· Excel for data exploration

· Scikit-learn and TensorFlow for building ML models

These are the same tools that businesses use on a daily basis, edifys advance data science and power BI therefore they are not only helpful for training.

Real World Project Example: Sales Forecasting with Power BI

In Edify’s Advanced Data Science and Power BI course, the hands-on, practical project on sales forecasting is one of the highlights. In this undertaking, you will:

· Create dashboards for compAdd unprocessed sales data to Power BI.

· Use Python to implement time series forecasting.

· Compare anticipated and actual sales.

· any executives.

In addition to making your resume stand out, this gets you ready for real job duties.

Why This Course is Future Proof

Although technology is changing, there is a growing requirement to comprehend and evaluate data. Businesses want professionals who can use the vast amounts of data generated by automation, artificial intelligence, and the Internet of Things to take appropriate action.

By combining Advance Data Science and Power BI, you gain a future-proof skill set that aligns with:

· The rise of AI and Machine Learning

· The growth of business intelligence platforms

· The need for real-time data visualization

· The global shift to data-driven culture

Conclusion

Learning Advance Data Science and Power BI is the best investment if you want to launch or advance your tech career. Your key to becoming an expert in two of the most potent fields in data analytics and visualisation is Edify’s extensive course. You will acquire all the necessary skills to become a data expert through practical projects, knowledgeable instructors, and career assistance.

FAQs

Q1.What is the duration of the Advance Data Science and Power BI course at Edify?

Depending on whether you choose the conventional or fast-track learning track, the course usually lasts 8 to 12 weeks. For flexibility, both weekday and weekend batches are included.

Q2.Do I need prior experience in programming or analytics to join this course?

Beginning with the fundamentals, Edify progressively progresses to more complex subjects.

Q3.Is the course certificate recognized in the job market?

Indeed. A professionally recognised credential from Edify gives your portfolio and resume more legitimacy. Both domestic and foreign markets hold it in high regard.

Q4.What tools and technologies will I learn in this course?

With Python, Power BI, SQL, DAX, Pandas, NumPy, Matplotlib, and other technologies, you will get practical experience. The industry makes extensive use of these tools for business intelligence and data science.

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