AI & ML

Data Science & Machine Learning

Name: Semicolon Innovations
Address: Kunnath Building, Sankara Iyyer Road Junction, Westfort, Thrissur, Kerala, 680004, IN
Telephone: +91

Understand Python, statistics, machine learning algorithms, data visualization, and predictive analytics using real-world datasets.

Syllabus

1 Month Track

check_circle Week 1: Python for Data Science, Statistics Basics — You will get hands-on with Python for Data Science and Statistics Basics, moving from explanation to practice in guided sessions.
check_circle Week 2: Data Wrangling (Pandas/NumPy), Data Visualization — This block covers Data Wrangling (Pandas/NumPy) and Data Visualization, with exercises designed so you apply each concept immediately, not just watch a demo.
check_circle Week 3: Supervised Learning Basics, Model Evaluation — You will practice Supervised Learning Basics and Model Evaluation through small guided tasks, building the muscle memory needed before the next module.
check_circle Week 4: Unsupervised Learning Basics, Mini Project — Expect a mix of short lectures and lab time on Unsupervised Learning Basics and Mini Project, so you leave with working code/output, not just notes.

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6 Months Track

check_circle Month 1: Python for Data Science, Statistics & Probability — You will practice Python for Data Science and Statistics & Probability through small guided tasks, building the muscle memory needed before the next module.
check_circle Month 2: Data Wrangling, EDA & Visualization — Expect a mix of short lectures and lab time on Data Wrangling, EDA & Visualization, so you leave with working code/output, not just notes.
check_circle Month 3: Supervised Learning Algorithms, Unsupervised Learning Algorithms — You will build a small piece of the final project while learning Supervised Learning Algorithms and Unsupervised Learning Algorithms, connecting theory to something real.
check_circle Month 4: Model Evaluation, Feature Engineering, Time-Series Analysis Basics — This module walks through Model Evaluation, Feature Engineering and Time-Series Analysis Basics step by step, with in-class practice and doubt-clearing sessions.
check_circle Month 5: Deep Learning Introduction, Model Deployment Fundamentals — You will get hands-on with Deep Learning Introduction and Model Deployment Fundamentals, moving from explanation to practice in guided sessions.
check_circle Month 6: Capstone Project (Data Science Case Study), Agile & Git Workflow, Resume Building, Mock Interviews, Internship/Placement Preparation — This block covers Capstone Project (Data Science Case Study), Agile & Git Workflow, Resume Building, Mock Interviews, and Internship/Placement Preparation, with exercises designed so you apply each concept immediately, not just watch a demo.

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Data Science & Machine Learning

Syllabus

1 Month Track

3 Months Track

6 Months Track