Data Science Course In Mangalore
Our Alumni Work At 1500+ Companies
Mangalore's Emerging Tech Ecosystem
A snapshot of Mangalore's tech ecosystem and how it shapes demand (and pay) for Data Scientists.
₹2.5K Cr+
144+
15,502+
826+
Data Scientist Salaries in Mangalore
Talk to our Advisor
- Personalised Career Roadmap
- Free Career Counselling
- Free Access to Scaler Events
A Step-by-Step Learning Journey
SQL
SQL
Tableau
Tableau
Beginner Python 1
Beginner Python 1
Beginner Python 2
Beginner Python 2
Advanced Python
Advanced Python
Data Analytics and Visualisation - Fundamentals
Data Analytics and Visualisation - Fundamentals
Data Analytics and Visualisation - Python Libraries
Data Analytics and Visualisation - Python Libraries
Product Analytics
Product Analytics
SQL
SQL
Tableau
Tableau
Beginner Python 1
Beginner Python 1
Beginner Python 2
Beginner Python 2
Real-World Projects Included
Sales Forecasting Engine
Use time-series forecasting to predict sales trends, helping businesses make data-driven planning decisions.
Insurance Premium Prediction
Build ML models to predict insurance premiums using exploratory analysis, statistical testing, and regression techniques.
Cybersecurity Threat Detection
Develop intelligent systems that detect evolving cyber threats through ML models and anomaly analysis.
AI Language Tutor
Create an interactive AI tutor using LLMs—build a Duolingo-like system that teaches languages through dynamic prompt-driven learning.
Master Industry-Standard Tools
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Industry Expert Mentors
Harshit Tyagi
Full-stack data scientist and AI engineer empowering global learners.
Mohit Uniyal
ML engineer specializing in anomaly detection, ranking, and GenAI.
Ajay Shenoy
AI/ML educator with deep research and industry experience.
Anant Mittal
Builder at the intersection of AI, education, and human learning.
Mudit Goel
Industrial-engineer turned analytics manager delivering supply-chain impact.
Prashant K Tiwari
ML engineer focusing on risk modeling and practical ML workflows.
Sundaravaradhan
Supply-chain analytics lead transforming operations with scalable data products.
Sameer Shah
Data engineer skilled in backend systems and analytics pipelines.
Shan Mehrotra
Data scientist with product analytics and experimentation expertise.
Amit Singh
Instructor with expertise in systems, analytics, and engineering basics.
Mohit Kukkarl
ML engineer specializing in forecasting, detection, and marketplace ML.
Suransh Chopra
Engineer experienced in financial systems and scalable data engineering.
Vishwath Parthasarathy
ML engineer experienced in ranking systems and large-scale data pipelines.
Suraaj Hasija
Data scientist experienced in analytics, experimentation, and ML workflows.
Thanish Batcha
ML practitioner skilled in modeling, statistical learning, and DL.
Srikanth Varmaa
AI engineer-educator building data and ML skills globally.
Success Stories from Mangalore
In just 2.5 months, Scaler helped me master DSML fundamentals and crack my first placement, thanks to expert mentors and a structured curriculum.
Scaler’s live classes, mock interviews, case studies, and mentorship strengthened my DSML foundations and boosted my confidence.
Scaler’s DSML program transformed my mindset, skills, and career vision helping me dream big and stay industry-relevant through practical learning.
With stellar instructors and a strong curriculum, Scaler helped me transition from a maths background to mastering ML and DL with confidence.
Scaler built my foundational DSML skills and fueled my passion for data, helping me transition from mechanical design to data science successfully.
Scaler helped me build strong foundations in DSML, from statistics to Python and SQL. Consistent learning and curiosity now shape my growth at Brillio.
Have more Questions?
Program
The program is delivered online with a structured learning path, live interactive classes, assignments, and projects. The exact duration depends on the selected track/cohort as defined on the program page.
A coding background is not required for the beginner pathway. You should be comfortable with basic school-level mathematics, and the course starts from foundational concepts.
Classes are conducted live online and are also recorded on the learning platform for revision. If you miss a session, you can watch the recording later and continue with the planned coursework.
Typically, candidates from diverse backgrounds, including engineering, mathematics, and computer science, join the Data Science program from Mangalore, looking to upskill or reskill in the field.
This course is indeed designed for working professionals in Mangalore, offering a balanced curriculum that accommodates the schedules of busy professionals.
Enrollment from Mangalore is possible, with the flexibility to target jobs in other prominent tech hubs across India, including Bangalore, Hyderabad, and Pune.
Curriculum
The curriculum includes projects relevant to Mangalore industries, ensuring that students gain practical experience and insights into the local job market.
The curriculum typically progresses from foundational tools (SQL, Python, BI basics) to data analysis and visualization, statistics and probability, machine learning and deep learning fundamentals, and advanced topics such as specialization modules and MLOps (as applicable).
Projects that align with the recruitment needs in Mangalore often involve predictive modeling, data visualization, and business analytics, showcasing a candidate's ability to solve real-world problems.
Customization of the capstone project is possible, allowing students to focus on industries relevant to Mangalore, such as manufacturing, healthcare, or education.
For roles in Mangalore, focusing on tools like Python, R, SQL, Tableau, and Power BI is crucial, as these are widely used in the industry.
Teaching
Teaching Assistants
Entrance Test
Mentors
Placement Support
Placement support typically includes career guidance and interview preparation resources. It is support and assistance, not a job or salary guarantee.
Freshers in Data Science are often recruited by IT companies, consulting firms, and startups in Mangalore, which value their fresh perspectives and skill sets.
Placement assistance is tailored to meet the specific needs of candidates targeting Mangalore, with support in resume building, interview preparation, and job placement.
Candidates from Mangalore typically interview with a range of companies, from startups to established firms, including those in the IT, healthcare, and finance sectors.
Tuition Fee
Job & Career
Salary expectations for data science jobs in Mangalore vary based on experience and specific role but generally range from 5 to 15 lakhs per annum for freshers and mid-level professionals.
Currently, roles like Data Scientist, Business Analyst, and Data Engineer are in high demand in Mangalore, with a growing need for professionals who can analyze and interpret complex data sets.
Top recruiters for data analytics in Mangalore come from sectors such as IT, finance, healthcare, and e-commerce, which heavily rely on data-driven decision-making.
The typical structure of data science interviews in Mangalore involves a combination of technical questions, case studies, and behavioral interviews, assessing both hard and soft skills.
Recruiters in Mangalore often value portfolio projects that demonstrate a candidate's ability to work with real-world data, apply machine learning algorithms, and communicate insights effectively.
To customize a resume for data science openings in Mangalore, it's essential to highlight relevant technical skills, project experience, and a deep understanding of the local industry landscape.
Certification
The certification is recognized by major companies in Mangalore, enhancing a candidate's credibility and job prospects in the competitive data science job market.
You earn the certificate by completing the required modules, assignments, projects, and assessments as per the program criteria. It represents successful completion of a structured, hands-on learning pathway.
The certification signals structured training and hands-on analytics experience relevant to Mangalore's data roles. It complements portfolios focused on FinTech, pharma analytics, and enterprise domains.
