Learn Python, SQL, statistics, machine learning and data visualization through hands-on projects at Wikpolt Softwares, Trivandrum. Build practical skills, portfolio projects and career-ready data workflows with mentor guidance.
Wikpolt Softwares offers a practical data science course in Trivandrum for students, recent graduates, working professionals and career changers. The program covers Python, NumPy, Pandas, SQL, statistics, data cleaning, exploratory data analysis, data visualization and machine learning, with advanced topics such as deep learning, NLP and generative AI fundamentals. Learners complete hands-on projects and a capstone, receive mentor guidance and a course completion certificate, and get career preparation and placement assistance. Classroom and online learning options are available, and beginners do not need prior Python experience.
Course: Data Science Training with Python & Machine Learning at Wikpolt Softwares.
Location: Trivandrum / Thiruvananthapuram, Kerala, India.
Eligibility: Graduates, final-year students, IT and non-IT professionals, and career changers.
Technology stack: Python, NumPy, Pandas, SQL/MySQL, Matplotlib, Seaborn, Jupyter, Git/GitHub and Scikit-learn.
Outcome: Practical assignments, portfolio work, capstone, certificate and career preparation.
Fees and duration: Current batch-specific details are provided by Wikpolt Softwares on enquiry.
Data science helps organizations turn raw data into decisions. The field combines analytics, statistics, programming, machine learning and business communication.
Find patterns in sales, customer, research or operations data and turn them into useful insights.
Use machine learning to forecast churn, demand, prices and other outcomes.
Use Python scripts and repeatable workflows to reduce manual reporting and data preparation.
Present results through dashboards and visualizations that decision-makers can understand.
Build the data, statistics and model-evaluation foundation needed for later AI and generative AI work.
Develop foundations relevant to data analyst, BI, data science, machine learning and research-oriented roles.
Trivandrum is Kerala's capital and home to Technopark, software companies, startups and research institutions. For learners planning a data science, data analytics or machine learning career in Kerala, local training can provide convenient classroom access, peer learning and mentor interaction.
Classroom access for direct doubt clearing and structured learning.
Local networking with learners, professionals and technology communities.
Career proximity to organizations around Technopark, Kazhakootam, Thycaud and wider TVM.
Flexible options for working professionals where current batches permit.
Online learning for students outside Trivandrum and across Kerala.
Wikpolt Softwares Pvt Ltd is a software development and AI company, so the course is designed around practical software workflows rather than slides alone.
Work with notebooks, documentation, clean code and development-oriented workflows.
Major topics lead to exercises or projects so learners practise what they study.
Get feedback on code, analysis, debugging and presentation of results.
Build notebooks, SQL work, EDA reports, dashboards, models and a capstone that can demonstrate practical ability.
Choose classroom training in Trivandrum or online live learning based on available batches.
Resume, portfolio, mock interview and job opportunity guidance, plus placement assistance.
The data science curriculum is organised as a progression so that each stage prepares you for the next.
| Stage | Module | Outcome |
|---|---|---|
| 01 | Data Science Fundamentals | Understand the lifecycle, terminology and business problem framing. |
| 02 | Python for Data Science | Write Python code to handle and transform data. |
| 03 | SQL & Databases | Extract and aggregate data from relational databases. |
| 04 | Statistics for Data Science | Reason about data, uncertainty, probability and relationships. |
| 05 | Data Cleaning & EDA | Prepare messy data and discover patterns and insights. |
| 06 | Data Visualization | Communicate findings through charts, reports and dashboards. |
| 07 | Machine Learning | Build and evaluate predictive models. |
| 08 | Advanced Topics & Capstone | Apply the full workflow to a complete project. |
Programming language used for data manipulation, analysis, automation and modelling.
Core data-handling and numerical libraries for practical analysis workflows.
Query relational databases and retrieve the data required for analysis.
Create analytical charts, distributions, correlations and visual reports.
Write, run, document and present data analysis in an interactive environment.
Document and organise project work for portfolio presentation.
Build and evaluate practical machine learning models.
Introduction to deep learning, NLP and generative AI fundamentals.
Connect with our team and get to know more about our current syllabus details and learning options.
Projects follow a repeatable workflow: define the problem, prepare the data, analyse, model, evaluate and explain.
Identify products and months that drive revenue using Python, Pandas, SQL, Matplotlib and Seaborn.
Identify customers likely to leave using feature engineering and classification models.
Estimate property prices from location, size and features using regression workflows.
Group customers by behaviour to support marketing and business decisions.
Classify reviews or comments as positive, negative or neutral using NLP concepts.
Apply the complete lifecycle from problem definition through analysis, modelling and final presentation.
Project availability can vary by batch. Contact Wikpolt Softwares to confirm the projects included in the current program.
A portfolio gives interviewers evidence of how you work with data, not just a list of tools on a resume.
Wikpolt Softwares provides current fee details based on the selected program and batch. Contact the course team for the latest fee structure, payment options and what is included.
Duration, number of modules, project work and advanced topics affect the overall program structure.
Online and classroom formats may have different schedules and pricing.
Project reviews and mentor feedback can affect what is included in a batch.
Certificate and assessment structures may differ between programs.
Resume, portfolio, mock interview and placement assistance may be included depending on the batch.
Weekday, weekend and fast-track options can have different schedules and fees.
When comparing data science fees in Kerala, ask for a written syllabus and fee breakdown so you can compare the actual curriculum, project work, mentoring and career support.
Duration depends on curriculum depth, classes per week, learning mode, project work and your own learning pace. Wikpolt Softwares shares the current batch duration and schedule on enquiry. A short program can introduce tools, but sustained practice is important for building Python, SQL, statistics, machine learning and project skills.
This course is designed for learners from different educational and professional backgrounds who want to build practical data skills.
Build practical data skills before graduation and start a portfolio.
Develop Python, SQL, statistics and machine learning foundations for entry-level applications.
Add job-ready data skills and project evidence to your technical background.
Add programming, SQL and machine learning to analytical strengths.
Move into analytics with step-by-step Python and SQL training.
Upskill through available online or flexible batches.
Follow a structured path from fundamentals to portfolio projects.
Choose the learning format that fits your schedule and location.
Instructor-led sessions, practical work, direct mentor access and peer learning at the Trivandrum location.
Live sessions, assignments and project reviews for working professionals and learners outside Trivandrum.
A mix of classroom and online learning where offered for the selected batch.
If you have been searching for online data science courses in Trivandrum, online live training can let you learn from anywhere in Kerala and beyond. Contact the team to confirm current batch options.
Learners who complete the course receive a Wikpolt Softwares course completion certificate. The certificate confirms training completion; practical projects, portfolio quality and interview performance remain important alongside certification.
| Role | Typical responsibilities | Relevant skills |
|---|---|---|
| Data Scientist | Build predictive models, run experiments and communicate insights. | Python, statistics, machine learning |
| Data Analyst | Clean data, analyse trends and build reports or dashboards. | SQL, Pandas, visualization |
| Machine Learning Engineer | Train, test and deploy models. | Python, Scikit-learn, model evaluation |
| Business Intelligence Analyst | Build dashboards and track business metrics. | SQL, visualization, reporting |
| Data Engineer | Build data pipelines and manage data flow. | Python, SQL, databases |
| AI/ML Engineer | Develop AI-driven applications. | Machine learning, deep learning |
| Analytics Consultant | Advise businesses using data insights. | Analytics, communication |
| Research Analyst | Analyse data to support research questions. | Statistics, EDA, reporting |
Some roles require additional skills and experience beyond an entry-level course. The course provides a foundation for applications and continued learning rather than a guaranteed employment outcome.
| Factor | Data Science | Data Analytics |
|---|---|---|
| Programming | Python heavily used | Python or SQL; sometimes Excel |
| Statistics | Deeper statistics and modelling | Descriptive and diagnostic statistics |
| Machine learning | Core component | Limited or optional |
| Business intelligence | Supporting skill | Core focus |
| Typical tools | Python, Scikit-learn, Jupyter | SQL, Excel, Power BI, Python |
| Typical projects | Prediction, classification, clustering | Reporting, dashboards, trend analysis |
| Common roles | Data Scientist, ML Engineer | Data Analyst, BI Analyst |
If you enjoy dashboards and business questions, analytics may be a useful starting point. If you enjoy coding and prediction, data science may fit better. This course also covers the analytics foundation, so it can support people searching for a data analyst course or data analytics courses in Trivandrum.
Data science extracts insight from data; artificial intelligence builds systems that perform tasks associated with human intelligence. Machine learning connects the two areas.
Machine learning is one part of data science. Data science also includes collection, cleaning, analysis and communication.
Python is a tool; data science is the broader discipline. Python is widely used, but data science involves much more than programming.
Whether you choose Wikpolt or another institute, compare the actual learning experience rather than only the headline fee.
Check whether the syllabus is written down and detailed.
Check whether it starts with basics and reaches NumPy and Pandas.
Confirm database querying and proper statistics coverage.
Look for algorithms, model evaluation and practical exercises.
Check whether projects are hands-on and whether you finish with GitHub-ready work.
Ask about mentor background and whether you can get feedback on your work.
Confirm the mode, schedule, fee breakdown and payment terms.
Ask exactly what resume support, mock interviews, placement assistance and post-course support include.
Free tutorials can help you test your interest. Government and university programs can provide strong theoretical foundations. A structured mentor-led course can add guided practice, feedback and portfolio projects. Compare the learning outcomes, not just the label.
A degree is a multi-year academic commitment, while a professional data science training program focuses on practical job-oriented skills in a shorter format. Learners may choose one path or combine academic education with additional skills training.
Wikpolt Softwares is located in Trivandrum, Kerala. Learners from Technopark, Kazhakootam, Thycaud and surrounding areas can enquire about classroom attendance. Learners elsewhere in Kerala can ask about online training.
SN Plaza, Third Floor, Near W&C Road, Thycaud
Trivandrum , Kerala 695001, India
Phone: +91-8925813375 / +91-6385552937
Email: info@wikpoltsoftwares.com
Share your details and the Wikpolt course team can provide the current syllabus, fees, batch timings and learning options. No pressure—just clear course information.
Current syllabus and module details
Current course fees and payment options
Classroom / online / hybrid availability
Weekday or weekend batch information
Career and placement assistance details
It is a project-based data science training program at Wikpolt Softwares in Trivandrum, Kerala. It covers Python, SQL, statistics, data visualization and machine learning, with mentor guidance, a certificate and career support. Classroom and online options are available.
The syllabus includes data science fundamentals, Python, NumPy, Pandas, SQL, statistics, data cleaning, exploratory data analysis, visualization and machine learning. Advanced topics include deep learning, NLP and generative AI basics, plus a capstone project.
Fees depend on the program, learning mode and batch. Contact Wikpolt Softwares for the latest fee structure, payment options and what is included.
Duration depends on the batch and learning mode. Contact Wikpolt Softwares for the current batch duration and class schedule.
Yes. Python, statistics and SQL are taught from the basics. Prior coding experience is not required, although regular practice is important.
Yes. Non-IT graduates can learn data science with steady effort. You start with Python and SQL basics before moving into analysis and machine learning, with mentor support.
No. Python is taught from scratch, including variables, loops, functions, NumPy and Pandas.
School-level mathematics is enough to start. Statistics, probability and basic algebra are explained step by step with examples and code.
Yes. SQL covers SELECT, WHERE, GROUP BY, JOINs, subqueries and aggregations.
Yes. You learn supervised and unsupervised learning, regression, classification, clustering, feature engineering, model evaluation and cross-validation using Scikit-learn.
Yes. You learn to create charts and visual reports with Matplotlib and Seaborn and present insights clearly.
Yes. Practical projects include sales analysis, customer churn prediction, house price prediction, customer segmentation and sentiment analysis, plus a capstone project.
Both. Wikpolt Softwares offers classroom training in Trivandrum and online live training. Contact the team to confirm what is available for your batch.
Yes. Classroom sessions are conducted in Trivandrum, Kerala. Learners near Technopark, Kazhakootam and Thycaud can enquire about in-person batches.
Yes. Support includes resume and portfolio guidance, mock interviews, interview preparation and job opportunity guidance. Placement assistance does not mean a guaranteed job.
No. Wikpolt Softwares does not guarantee jobs. It provides training, portfolio building and career preparation.
Yes. Learners who complete the course receive a Wikpolt Softwares course completion certificate.
Entry-level roles can include data analyst, business intelligence analyst, junior data scientist and machine learning trainee. With experience and further learning, you can move toward data scientist, ML engineer or AI engineer roles.
Yes. Working professionals can join, and online or weekend batches may suit their schedules. Contact Wikpolt Softwares for current timings.
Fill in the enquiry form, call Wikpolt Softwares or request a counselling session. The course team can share the current syllabus, fees, batch dates and learning options.