Data Scientist
- 150+ hours of applied learning
- 25+ real-life projects providing hands-on industry training
- Industry-recognized certificates from IBM (for IBM courses) and Simplilearn
- Portfolio-worthy capstone demonstrating mastered concepts
- Exclusive Hackathons and live interaction with IBM experts
- Integrated labs for hands-on learning experience
Aligned to
Companies that Hire Our Graduates
Overview
This Data Scientist Master’s program, in collaboration with IBM, helps you master the concepts of data science. You will learn key technologies including R, Python, Tableau, and Machine learning. You will also gain an understanding of supervised and unsupervised learning models such as linear regression, logistic regression, clustering, dimensionality reduction, KNN, and pipelines required to start your career as a data scientist.
JobAssist Program
Gain visibility among top hiring companies with BELLS’ JobAssist
Master’s Certification
Earn an industry-recognized Data Analyst Master’s certificate from BELLS
Expert-Led Sessions
Participate in live sessions conducted by seasoned industry professionals
IBM Masterclasses
Learn directly from IBM experts through exclusive sessions
IBM Certifications
Receive recognized IBM certifications for IBM-led courses
Gain in-depth Knowledge
Understand and use linear and non-linear regression models and gain expertise in mathematical computing using the NumPy and Scikit-Learn package
Capstone & Projects
Perform scientific and technical computing using the SciPy package and its sub-packages such as Integrate, Optimize, Statistics, IO, and Weave
Hands-on Learning
Analyze data using Tableau and become proficient in building interactive dashboards. Gain practical mastery over principles, algorithms, and applications of machine learning
Lifetime Learning Access
Enjoy lifetime access to self-paced learning content
Career-Focused Curriculum
Designed to kick-start your journey as a successful Data Scientist
Skills Covered
- Exploratory data analysis
- Descriptive statistics and Inferential statistics
- Model building and fine-tuning
- Supervised and unsupervised learning
- Natural language processing and Ensemble learning
Benefits
According to Emergen Research, the global Python market is projected to reach USD 100.6 million by 2030, with a revenue CAGR of 44.8% during the forecast period.
According to Emergen Research, the global Python market is projected to reach USD 100.6 million by 2030, with a revenue CAGR of 44.8% during the forecast period.
Eligibility
This Python certification is ideal for anyone looking to learn Python for software development or data science roles. It is also well-suited for:
- Software Developers
- Software Engineers
- Technical Leads
- Architects
- Programming Enthusiasts
Pre-requisites
Learners should have an undergraduate degree or a high school diploma.
Learning Path
Step 1
Python for Data Science
Step 2
Data Science with Python
Step 3
Machine Learning
Step 4
Tableau Training
Step 5
Data Science Capstone
Elective
R Programming with Data Science
Elective
SQL Training
Elective
Deep Learning with Keras and TensorFlow
Elective
Industry Masterclass delivered by IBM
Training Options
6 Reasons to Upskill with BELLS
👨🏻🏫 Strong Alumni-hub
With more than 140,000 graduates, our alumni community is a testament to the trust and credibility we’ve built over the years.
🧩 Interactive
Live, instructor led classroom where the trainers provide live demonstrations of every procedure, open discussions and step-by-step guidance to ensure students can fully grasp and apply the techniques effectively.
✍🏻 Practical
Courses are designed with hands-on learning with practical exercises, and real life case studies as roleplay ensuring you not only understand the theory but also gain real-world experience to apply skills immediately in professional settings.
💡 Expert-Led
Gain valuable insights through training led by seasoned industry experts and experienced instructors, providing practical knowledge and real-world applications to enhance your skills and accelerate your learning journey.
🏢 Multiple Learning centers
Our widespread training centers across Singapore make it convenient for students to attend classes close to home, ensuring accessibility and flexibility in scheduling and location.
📊 Industry-validated Courseware
Engage in hands-on projects and analyse real case studies during class, allowing you to apply theoretical knowledge to practical scenarios, enhancing your understanding and preparing you for real-world challenges.
Why Choose BELLS
BELLS Tech combines structured learning, hands-on skill-building, and personal career support—so you’re not just certified, you’re job-ready.
Exam & Certification
What do I need to do to unlock my BELLS certificate?
To earn the Python certification, you must:
- Complete 85% of the online self-learning course or attend a full batch of the training
- Successfully complete and submit the project for evaluation
FAQs
What are the tools taught?
- Python
- NumPy
- Pandas
- Seaborn
- ScikitLearn
- Matplotlib
- Tableau
- Tensor Flow
What does a Data Analyst do?
A data scientist collects, analyzes, and visualizes large datasets to extract actionable insights for solving business problems. By processing data from various sources and applying techniques they uncover hidden correlations and aid better decision-making.
What are the benefits of enrolling in a Data Analyst Course?
- Masterclasses by IBM experts
- “Ask-me-anything” sessions with IBM leadership
- Exclusive hackathons conducted by IBM
- Industry-recognized data science certification from Simplilearn
- Live interactive sessions on the latest AI trends
Who are the instructors for this course, and how are they selected?
Our trainers are industry experts in business intelligence and analytics with years of experience. Each trainer undergoes rigorous screening, including technical evaluations and teaching demos, to ensure quality. Only instructors with consistently high alumni ratings remain on our teaching faculty.
How do I enroll for the Course?
The enrollment process involves three steps:
- Submit an application detailing your motivation for the course.
- An admissions panel reviews applications and shortlists candidates.
- Selected candidates begin the course within 1-2 weeks upon fee payment.
What are the prerequisites for this course?
Candidates should possess
- Basic knowledge of mathematics and statistics
- Basic understanding of any programming language
Can fresh graduates find jobs after completing the course?
Yes, fresh graduates can secure entry-level roles
Does BELLS offer corporate training solutions?
Yes, we collaborate with companies of all sizes to provide training in digital skills and certifications.