Data Science and Machine Learning with Python Certification in Bahrain

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

4.8/5

3413 EnrolledEnrolled Learners

4.8/5

3413 EnrolledEnrolled Learners

Overview

What will you learn from us:

Master Python programming fundamentals, including variables, functions, and data types
Develop strong data manipulation skills using libraries such as NumPy and Pandas
Perform data analysis and create insightful visualizations with Matplotlib and Seaborn
Apply machine learning techniques, including regression, decision trees, and clustering
Combine Python with Power BI to build interactive, data-driven dashboards
Gain hands-on experience through real-world projects, such as HR attrition prediction models

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

Learners Point has a reputation for high-quality training that makes a difference in people's lives. We undertake a practical and innovative approach to working closely with businesses to improve their workforce. Our expertise is wide-ranging with ample support from our expert trainers who are globally recognized and hold a diverse set of experiences in their field of expertise. We are proud of our instructors who take ownership of our distinctive and comprehensive training methodologies, help our students imbibe those with ease, and accomplish gracefully.

We at Learners Point believe in encouraging our students to embark upon a journey of lifelong learning and self-development, with the aid of our comprehensive and distinctive courses tailored to current market trends. The manifestation of our career-oriented approach is what we assure through a pleasant professional enriched environment with cutting-edge technology, and an outstanding while highly acknowledged training staff that uses up-to-date methodologies and quality course material. With our aim to mold professionals to be future leaders, our industry expert trainers provide the best in town mentorship to our students while endowing them with the thirst for knowledge and inspiring them to strive for professional and human excellence.

Learning Outcomes

Upon finishing the training, you will:

Master Python programming with emphasis on data manipulation and analysis using NumPy and Pandas

Build and apply machine learning models, including regression, decision trees, and clustering techniques

Design clear and insightful data visualizations with Matplotlib and Seaborn to support business decisions

Gain hands-on experience with Power BI to create interactive and dynamic dashboards for real-world scenarios

Apply statistical techniques, hypothesis testing, A/B testing, and exploratory data analysis (EDA) to tackle practical business challenges

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

The Data Science and Machine Learning with Python Certification in Bahrain is a professional program designed to prepare you with hands-on skills in Python programming, data analysis, machine learning, and interactive dashboards using Power BI. You will gain expertise in data cleaning, statistical modelling, exploratory data analysis, and building predictive models. Completing this certification enhances your career prospects, allowing you to handle real-world business datasets effectively, make data-driven decisions, and compete confidently in industries where data science is critical.

Certification will enhance your skills by teaching advanced Python programming, computer dancing with Panda and Pneum, and you will also learn how to build an interactive dashboard with Power BI and work on real-world projects, so you can handle complex analytical tasks and position yourself for senior data scientist roles. Completing this programme will also give you a recognised certification that strengthens your professional credibility and employability.

Yes, the certification is designed to guide beginners step-by-step through Python fundamentals, data analysis, and machine learning concepts. With practical exercises, instructor-led guidance, and real-world projects, you will gain the skills and confidence to create future models, develop interactive dashboards, and launch a career in computer science and analysis. The structured teaching path ensures that even beginners can acquire job-ready skills and practical competence by the end of the course.

The curriculum includes the basics of Python programming, such as Pandas and NumPy, using computer manipulation, matplotlib, and data visualisation, along with creating interactive dashboards using Power BI. Participants also learn machine learning techniques such as regression, classification, and clustering, as well as future-scenario models and gained experience with real-world projects.

Graduates can pursue roles as data analysts, experts in business intelligence, machine learning engineers, or computer researchers. Certification equips professionals with practical skills to analyse data, create future models, and develop interactive dashboards, enabling them to contribute to decision-making and take on senior analysis or management roles in industries such as finance, healthcare, retail, and technology.