Data Science and Machine Learning with Python Certification in Qatar

Data Science and Machine Learning in 48 hours

Globally recognised Python certification

Automation Sandbox integrated skill-building

Flexible learning schedules for professionals

Convenient instalment payment options

4.35/5

1320 EnrolledEnrolled Learners

4.35/5

1320 EnrolledEnrolled Learners

Overview

What our training includes:

Learn the core concepts of Python programming, including variables, functions, and data types
Build strong skills in data manipulation using popular libraries like NumPy and Pandas
Explore data analysis and create meaningful visualizations with Matplotlib and Seaborn
Apply key machine learning techniques such as regression, clustering, and decision trees
Integrate Python with Power BI to develop interactive, data-driven dashboards
Work on practical, real-world projects like building an HR attrition prediction model to gain hands-on experience

Upcoming sessions

Curriculum

Python syntax, variables, data types

Conditional statements and loops

Functions and lambda functions

Lists, tuples, dictionaries, sets

Practice: Automate report filtering

Jupyter/Colab usage

NumPy arrays, indexing, reshaping

Vectorized operations

Use Case: Matrix operations for logistics

Load, clean, and merge data

Handling missing values

Filtering, slicing, groupby operations

Project: Merge Excel reports across departments

Mean, median, variance, std deviation

Skewness and kurtosis

Probability rules and distributions (normal, binomial)

Domain examples: Retail and HR

Central Limit Theorem

Confidence intervals

t-tests, chi-square, ANOVA

Correlation vs causation

Use Case: A/B testing for ecommerce

Histograms, barplots, boxplots

Heatmaps and correlation plots

Seaborn styling

Mini Project: Visualize retail sales

Feature engineering: scaling, encoding

Binning, outlier treatment

Practice: EDA on sales/finance dataset

Supervised vs unsupervised ML

ML workflow: split, train, evaluate

Metrics: accuracy, precision, recall, F1, ROC

Use Case: HR attrition model

Salary prediction using linear regression

Attrition classification with logistic regression

Confusion matrix, coefficients, ROC-AUC

Decision tree construction

Random forest ensemble

K-Nearest Neighbors (KNN)

GridSearchCV tuning

Use Case: Loan eligibility prediction

K-means clustering

Hierarchical clustering

PCA for feature reduction

Use Case: Customer segmentation

Connect CSV, Excel, and Python outputs

Power Query transformations

Visuals: cards, charts, slicers

Case: HR Dashboard (attrition analysis)

Data modeling

DAX calculated columns and measures

Multi-page dashboards

Case: Finance dashboard with forecasting

Export ML results to Power BI

Import predictions

Build ML-powered dashboards

Use Case: Telecom churn dashboard

**Sales performance predictor**

**HR attrition analyzer**

**Credit score or loan eligibility tool**

Meet your Trainer

Our Trainers

We take immense pride in our skilled instructors and trainers who excel in their chosen fields. Our trainers are globally recognised for their expertise and experience.Learners Point adopts a data driven research approach to learning so the experience is highly customizable and thoroughly engaging for learners from all walks of life. The sessions are classroom-based and led by an instructor. For those who seek more flexibility, we also offer high quality live and interactive sessions online.

Learning Outcomes

Upon finishing the training, you will:

Learn Python programming with a strong focus on data manipulation and analysis using Pandas and NumPy

Build and implement machine learning models such as regression, clustering, and decision trees

Create effective and easy-to-understand data visualizations using Matplotlib and Seaborn to guide business insights

Develop skills in using Power BI to build interactive, real-world dashboards for data-driven decisions

Use statistical methods, including A/B testing, hypothesis testing, and exploratory data analysis (EDA), to solve business problems

Ready to get started?

Learners Point Certificate

Earn a Course Completion Certificate, an official Learners Point credential that confirms that you have successfully completed a course with us.

KHDA Certificate

Earn a KHDA attested Course Certificate. The Knowledge and Human Development Authority (KHDA) is the educational quality assurance and regulatory authority of the Government of Dubai, United Arab Emirates.

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Frequently asked questions

Our Data Science and Machine Learning with Python Certification in Qatar is a hands-on program. It is designed to develop your expertise in Python, data analytics, machine learning, and interactive dashboards with Power BI. Participants learn to handle real-world datasets, build predictive models, and draw actionable insights. We prepare you for data-centric roles across industries like finance, tech, and healthcare.

Yes, if you’re comfortable with Excel, this course is a natural next step. You learn how to manipulate larger datasets using Python, visualize data with Power BI, and apply machine learning models for smarter decision-making. This skill upgrade opens doors to more technical and higher-paying roles in data and analytics.

No coding experience is required. Our Data Science and Machine Learning course starts with Python fundamentals and gradually introduces data analysis and machine learning concepts. It’s beginner-friendly and includes guided exercises, making it accessible for anyone looking to build data science skills from the ground up.

This Data Science and Machine Learning with Python Certification in Qatar is ideal for data professionals, analysts, IT graduates, or anyone with a basic understanding of Python. Individuals who want to specialize in data science or machine learning can register for this course. It’s also suitable for career changers or professionals in business roles who want to make data-driven decisions using tools like Power BI and machine learning techniques.

This course teaches Python programming using libraries like Pandas and NumPy for data manipulation, Matplotlib and Seaborn for visualization, and Power BI for dashboard creation. Learners also explore machine learning methods such as regression, classification, and clustering. Our training includes future-facing applications and real-world projects, helping you apply your skills in meaningful, business-relevant scenarios.

This program includes core machine learning models and predictive analytics techniques, which form the foundation of AI systems. Participants explore data analysis, statistical modeling, and algorithmic learning using Python libraries such as Pandas, NumPy, Matplotlib, and Seaborn.