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Nexperts Skill Beginner → Intermediate 2026 Curriculum Career-Accelerator Track

Data Science with Python
Certification

Live Online | Project-Based | Career-Focused

⏱Duration: 4 days / 32 hrs
💻Format: Instructor-Led + Live Labs
🌐Delivery: On-site · Virtual · Hybrid
✅Pass rate: 95%
📅Next intake: 12 May 2026
Data Science with Python training session at Nexperts Academy
🐍

Python fluency

Variables, control flow, functions, files, errors — written in reflex

🌐

Data wrangling

Clean missing values, join datasets, reshape tables and standardise features

⚡

Visualization

Build clear charts and KPI dashboards with matplotlib and seaborn

📦

Practical libs

numpy, pandas, seaborn, scikit-learn, jupyter, statsmodels

What this course is

Data Science with Python Certification
career-focused and project-based.

Get ready to exploit large datasets for insightful analysis and data-based prediction. In this training, you will master the technique of how Python is deployed for Data Science, working with Pandas library for Data Science, data cleaning, data visualization, Machine Learning, advanced numeric analysis, and many more. In addition, you'll experience building real-world-like projects that could help your resume stand out amongst your peers. Our Data Science with Python training course is an entire circle course that covers all aspects of data analysis processes and data science. Data Science Course Malaysia is a program offered by the Nexperts Academy that aims to provide students with knowledge and skills in data science and analytics. The program is designed to equip students with the necessary skills to work in various industries where data analysis is critical. Students enrolled in this program will receive training in both theoretical and practical aspects of data science and analytics.

What You Will Learn
✓ How to wrangle data, or Data wrangling
✓ Learning to explore data or Data exploration
✓ Visualising data
✓ Learning how to scrap data from various sources or datasets
✓ Fundamentals of Python programming
✓ Data Science libraries
Course Benefits
✓ We aim is to provide everyone with vital hands-on experience so that you are well-prepared for job interviews alongside an exhibition of their positions.
✓ Learn from pioneers in Data Science, both in research and industry.
✓ Learn the tricks of the trade from seasoned Python Developer practitioners.
✓ Work on hands-on projects that develop your ability to solve real-world problems.
✓ Practice your skills on our hands-on projects that simulate real-world problems
✓ How to wrangle data
✓ Learning to explore data
✓ Visualizing data
✓ Learning how data is scrapped from various datasets or sources
✓ Fundamentals of Python programming
Key Features
✓ 10 hours of python fundamentals self paced learning tutorial video
✓ 4 hours of self paced learning on statistical essentials
✓ 4 hours SQL fundamentals self paced learning tutorial video
✓ Comprehensive Blended Learning program flexible access to online classes instructions carried out through industry experienced trainers
✓ Interactive Quizzes 15+ in-demand technologies and skills
✓ Get hands-on experience with four industry-related projects
✓ 24x7 learner assistance and support
Who Should Enroll
💻

Software Professionals

Advance to data-centric problem solving.

🧰

IT Professionals

Add analytics and prediction skills.

📈

Analytics professionals

Strengthen Python and machine learning workflows.

🧠

Data Scientist

Sharpen practical modelling and data handling.

📊

Data Analyst

Build end-to-end analysis skills.

🎓

Fresh Graduates

Build project portfolio and interview readiness.

✓ Anyone with a genuine interest in Data Science
Skill You Will Acquire
Ability to use data with operators and functions
Ability to access, index, and slice strings and other data
Using various data structures in different contexts
Implement decision making and flow control
Understand the functionality of functions and modules
Extracting relevant data
Utilise Pandas and DataFrames to organise & data filteration
Ability to produce statistical inferences using Pandas and NumPy
Ability to utilise NumPy for numerical and mathematical computations
Expose to various analytics techniques with Pandas
Data Visualization with matplotlib and seaborn