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Beginner Track  |  Course 1

Python for Data Science & Machine Learning

Learn Python, Statistics, SQL and build your first machine learning projects.

  • 2 Months program with beginner friendly learning
  • Build industry-oriented projects with expert trainers
  • Certificate on completion, internship opportunity and placement guidance
  • Classroom batch at Balmatta, Mangalore, or live online

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What describes you best *

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Course Duration2 Months
Time Commitment2 Hours/day
EligibilityPursuing college / Graduate
Learning ModeOnline / Offline
Sample LPOINT certificate of completion with certificate number, QR verification and Edge Score

Why choose this course?

Learn Python, Statistics, SQL and build your first machine learning projects.

Expert Trainers

Learn from experienced trainers who guide you step by step, from the basics to real projects.

Industry-Oriented Projects

Build hands-on projects based on real-world use cases to apply what you learn and strengthen your portfolio.

Placement Guidance

Get help with resume building, interview preparation and job search so you are ready for the job market.

Internship Opportunity

Get an opportunity to gain practical, hands-on experience through an internship after the course.

Certificate on Completion

Receive a certificate on completing the course to showcase your skills to employers.

Face-to-Face Interview with Industry Experts

Take part in a face-to-face interview with industry experts to get feedback and build confidence for real interviews.

What you will learn

This is the starting point of your AI and Data journey. You begin with the fundamentals of Python programming, build a strong base in statistics and mathematics, learn to store and query data with SQL, and then put everything together by building your first machine learning projects. No prior coding experience is needed.

Students learning together
01Python Programming
  • Variables, data types and operators
  • Conditions, loops and functions
  • Lists, dictionaries, files and error handling
  • NumPy and Pandas for working with data
02Statistics & Mathematics
  • Mean, median, variance, standard deviation
  • Probability and distributions
  • Correlation and hypothesis basics
  • Math behind machine learning models
03SQL & Databases
  • Database concepts and table design
  • SELECT, WHERE, GROUP BY, ORDER BY
  • Joins and subqueries
  • Connecting SQL with Python
04Cloud Database Hosting
  • Host and manage a database on the cloud
  • Store and retrieve project data online
  • Basic security and access setup
  • Connect your cloud database to Python
05Introduction to Machine Learning

In the final part of the course you apply what you have learned to real datasets. You will understand how machines learn from data and build, train and evaluate simple models.

  • What is machine learning?
  • Regression and classification models
  • Using scikit-learn
  • Data cleaning and preparation
  • Model evaluation and accuracy
  • Building your first ML project

Toolkit

PythonNumPyPandasMatplotlibscikit-learnSQLiteJupyter / ColabCloud Database

Industry-oriented projects

01

Sales Data Analysis

Clean and analyse real business sales data with Python and Pandas, and present the insights.

What you will do

  1. Load a real sales file into Pandas and look at what it contains
  2. Clean missing values, duplicates and wrong data types
  3. Group sales by product, region and month to find patterns
  4. Draw charts and present the insights to a business team

Skills you will use

PythonPandasData cleaningCharts
Project outcome

A clear sales report with charts and insights you can explain to a business team.

02

SQL Business Reporting

Write SQL queries on a company-style database to answer questions like top customers and monthly revenue.

What you will do

  1. Explore a company-style database and its tables
  2. Write SELECT queries with WHERE, ORDER BY and GROUP BY
  3. Join tables and use subqueries to find top customers and monthly revenue
  4. Test each query and explain what the result means

Skills you will use

SQLiteJoinsGROUP BYSubqueries
Project outcome

A set of tested queries that answer real business questions from a database.

03

Cloud-Hosted Business Database

Set up a database online for a business use case and connect it to Python.

What you will do

  1. Design the tables for a small business use case
  2. Host the database online on a cloud service
  3. Set up access and basic security
  4. Connect to it from Python to read and write data

Skills you will use

Cloud databasePython connectorAccess setup
Project outcome

A working online database that your Python code can read from and write to.

04

Prediction Model (Capstone)

Capstone

Build and evaluate a machine learning model on a real dataset, such as customer churn or house price prediction.

What you will do

  1. Pick a real dataset, such as customer churn or house prices
  2. Clean and prepare the data for modelling
  3. Train a regression or classification model with scikit-learn
  4. Evaluate accuracy and write up how well the model performs

Skills you will use

scikit-learnRegressionClassificationModel evaluation
Project outcome

A trained and evaluated prediction model with a short write-up of how well it performs.

Who Is This Course For?

Start your Data and AI journey with Python, Statistics, SQL and machine learning.

Degree freshers on campus Students learning together Working professional learning data skills Beginner learning at home

Kickstart your Data and AI career

  • Open to BCA, BSc (CS), BE / BTech, MCA, MSc (CS) and MTech students and graduates
  • Build a strong base in Python, statistics and SQL alongside your degree
  • Create real projects for your resume and portfolio
  • Get placement guidance: resume, mock interviews, aptitude and group discussion
What you gain

A job-ready foundation and a project portfolio to stand out in campus and off-campus interviews.

Start a career in Data or AI

  • Students and graduates starting a Data or AI career
  • Learn step by step, from Python basics to your first machine learning model
  • Practise with industry-oriented projects such as sales analysis and prediction models
  • Earn a certificate on completion and explore internship opportunities
What you gain

Practical skills and a certificate that show employers you can work with real data.

Move into data roles

  • Working professionals who want to move into data roles
  • Learn to analyse data with Python, Pandas and SQL
  • Understand the basics of statistics and machine learning
  • Online and offline batches with 2 hours of learning per day fit around your job
What you gain

A clear path from your current role into data analysis and machine learning work.

No coding background needed

  • Anyone curious about Python and machine learning can join
  • The course starts from the very basics and builds up gradually
  • Trainers guide you through every topic with hands-on practice
  • Move on confidently to the Intermediate Track when you finish
What you gain

Confidence in coding and problem solving, even if you have never written a program before.

Placement guidance

Prepare to take your skills into the job market through:

Resume GuidanceProject PresentationTechnical Interview PreparationMock InterviewsAptitudeHR RoundTechnical RoundGroup DiscussionLinkedIn GuidanceJob Search Guidance

Frequently asked questions

Do I need coding experience?

No. The course starts from the basics of Python and no prior coding experience is needed.

Who can join this course?

Degree freshers (BCA, BSc CS, BE/BTech, MCA, MSc CS, MTech), students and graduates starting a Data or AI career, working professionals moving into data roles, and anyone curious about Python and machine learning.

How long is the course?

Two months, planned as an 8-week roadmap from Python foundations to a final hands-on project.

Will I get a certificate?

Yes. You receive a certificate on completion, and an internship opportunity is part of the program.

Is it available online and offline?

Yes, you can choose an online or an offline batch. Use the Choose your mode box on this page, or contact us for batch details.

What can I do after this course?

You will be ready to move on to the Intermediate Track, starting with Data Science and Predictive Analytics with Python.

Intermediate · 3 MonthsData Science & Predictive Analytics with Python course Intermediate · 3 MonthsData Engineering & Big Data Analytics course Intermediate · 3 MonthsIoT with Data Science course Advanced · 4 MonthsGenerative AI, LLMs & RAG Application Development course Advanced · 4 MonthsAI Agents & Agentic Workflow Development course Advanced · 4 MonthsApplied AI & Machine Learning Engineering (MLOps) course

Finished a course? Put it to work in our AI internship in Mangalore, or see all AI courses in Mangalore.

Contact Us

Visit us at 6th Level, Oberle Towers, Balmatta, Opp. Juice Junction, Mangalore, Karnataka 575001 · +91 78925 81597 · (0824) 4256456

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For any queries, you can WhatsApp us at +91 78925 81597

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For any queries, you can mail us at contact@lpoint.in