Data Science: Level-01

(1,230 reviews)

Created by

Avanteia

Total Enrolled

12,580

Last Update

15 September 2024

Introduction to Data Science Level-01

Overview:

Dive into machine learning, model building, and statistics. Work on projects in prediction, classification, and clustering.
Duration: 2 Months

Topics Covered:

Excel
Data Clean
Python
Analysis
Pandas
Visuals

Syllabus

Module 1: Introduction to Data Science & Python Basics

What is Data Science?
Real-world applications & career paths
Python fundamentals (variables, data types, loops, functions)
Libraries overview: NumPy, Pandas, Matplotlib

LAB 1

Setup Google Colab/Jupyter Notebook
Write Python programs (calculator, loops, list handling)
Use Pandas to load & explore CSV data

Module 2: Data Handling & Preprocessing

Data collection (CSV, Excel, APIs, web scraping basics)
Cleaning missing values, duplicates, outliers
Encoding categorical data (One-hot, Label encoding)
Normalization & Standardization

LAB 2

Load a dataset from Kaggle
Perform data cleaning using Pandas
Handle missing values & outliers

Module 3 : Data Visualization & Exploratory Data Analysis (EDA)

Graphs: bar, line, scatter, histogram, boxplot, heatmaps
Correlation analysis
Feature importance overview

LAB 3

Use Matplotlib & Seaborn for visualization
Create a heatmap of correlations
Visualize trends in real-world dataset (COVID, Sales, etc.)

Module 4 : Probability & Statistics for Data Science

Descriptive statistics (mean, median, variance, std dev)
Probability distributions (Normal, Binomial, Poisson)
Hypothesis testing (t-test, chi-square test, ANOVA)

LAB 4

Simulate coin toss & dice using Python
Perform hypothesis testing on dataset in Colab

Module 5 : SQL & Databases for Data Science

SQL basics (SELECT, WHERE, JOIN, GROUP BY, HAVING)
Query optimization
Connecting SQL with Python

LAB 5

Use SQLite / MySQL free version
Write queries on sample dataset
Integrate SQL with Pandas

Module 6 : Machine Learning Fundamentals (Supervised Learning)

ML pipeline (train-test split, model evaluation)
Regression: Linear, Multiple, Polynomial
Classification: Logistic Regression, k-NN, Decision Trees

LAB 6

Predict house prices (Regression) – Kaggle dataset
Build a classification model (Iris dataset)

Module 7 : Advanced Machine Learning (Ensemble & Feature Engineering)

Random Forest, Gradient Boosting, XGBoost
Feature engineering & selection
Cross-validation techniques

LAB 7

Build a Random Forest model for Titanic survival prediction
Use Scikit-learn feature selection methods

Module 8 : Unsupervised Learning & Clustering

k-Means Clustering
Hierarchical clustering
PCA (Dimensionality Reduction)

LAB 8

Customer segmentation (K-Means)
Reduce dimensions of dataset using PCA

Learning Outcome

Apply machine learning algorithms, data cleaning, and model evaluation. Work on real-time datasets and industry cases.

Reviews

Mansi Manjrekar
August 12, 2024

Avanteia offers the best IT courses in Goa! I enrolled for Digital Marketing and my friend joined Web Development – both of us got hands-on training with real projects. Highly recommend for job-seekers and students!
Tanraj Simones
March 10, 2024

This is the only institute in Goa that truly focuses on career growth. Whether it's Cybersecurity, Blockchain or Digital Marketing, the trainers are super helpful and the learning is very practical.
Barkelo Gaonkar
July 19, 2024

Avanteia Courses are industry-ready and job-focused. I loved the practical sessions, internship support, and certifications. If you're in Goa and serious about IT skills, this is the place to join.

Write a Review

Level

Level-01
Modules

8
Duration

2 Months
Category

Data Science
Language

English
Certificate

Yes

🛣️ Data Science Level 1 Roadmap

Strengthen your data science skills with Pandas, SQL, data cleaning, visualization, and introductory machine learning.

Step 1

📘

Data Science Level 1

This course takes your foundational skills and moves into applied data science

View Syllabus

Step 2

📊

Data Science Level 2

This course deepens your skills with real-world applications and more complex ML

View Syllabus

Step 3

🧑‍💻

Internship

A hands-on internship program where learners apply their Data Science skills to real-world problems

1 year

FREE

Step 4

📝

Mini Project

Students will design and develop their own end-to-end data science projects.

6 Months

Step 5

💼

Expected Jobs

Start with analyst roles and gradually grow into scientist/advanced positions.

Data Analyst

Business Analyst

Junior Data Scientist

SQL/BI Developer

ML Intern / Associate

🎯

🏆 Career Destinations

Entry-level (India)

₹5–8 LPA

Mid-level (India)

₹10–18 LPA

Senior-level (India)

₹20–30 LPA+

🌎 Global Roles

$60,000–$100,000

More Course

Related Courses

30 hours

Data Science: Beginner

Empower your career with data science skills that are in high demand across industries.

( 4.8/5 Ratings )

View Details

Certificate Badge

Data Science

Level : Beginner

Deep dive into machine learning algorithms, data visualization, and statistical analysis.

Python for Data Science
Machine Learning Algorithms
Data Visualization
Statistical Analysis

90 hours

Data Science: Level-02

Master advanced data science techniques, including machine learning, model evaluation, and real-world data projects.

( 4.7/5 Ratings )

View Details

Developer Badge

Data Science

Level : Level-02

Specialize in advanced modeling and deployment-ready solutions.

Real Projects
AI Link
Internship

90 hours

Machine Learning: Level-02

Master advanced topics like deep learning, neural networks, and model deployment. Build scalable ML pipelines and work on AI-driven applications using TensorFlow or PyTorch.

( 4.9/5 Ratings )

View Details

Machine Learning

Level : Level-02

Master deep learning, NLP, and scalable ML systems. Build real-world AI solutions for domains like healthcare, finance, and IoT.

ML Basics
Python
Data
Algorithms

About Avanteia Courses

Contact Info

Data Science: Level-01

Introduction to Data Science Level-01

Overview:

Topics Covered:

Syllabus

Module 1: Introduction to Data Science & Python Basics

LAB 1

Module 2: Data Handling & Preprocessing

LAB 2

Module 3 : Data Visualization & Exploratory Data Analysis (EDA)

LAB 3

Module 4 : Probability & Statistics for Data Science

LAB 4

Module 5 : SQL & Databases for Data Science

LAB 5

Module 6 : Machine Learning Fundamentals (Supervised Learning)

LAB 6

Module 7 : Advanced Machine Learning (Ensemble & Feature Engineering)

LAB 7

Module 8 : Unsupervised Learning & Clustering

LAB 8

Learning Outcome

Reviews

Mansi Manjrekar

Tanraj Simones

Barkelo Gaonkar

🛣️ Data Science Level 1 Roadmap

Data Science Level 1

Data Science Level 2

Internship

Mini Project

Expected Jobs

🏆 Career Destinations

Data Science

Data Science

Machine Learning

About Avanteia Courses

Contact Info

Follow Us

Data Science

Data Science: Level-01

Introduction to Data Science Level-01

Overview:

Topics Covered:

Syllabus

Module 1: Introduction to Data Science & Python Basics

LAB 1

Module 2: Data Handling & Preprocessing

LAB 2

Module 3 : Data Visualization & Exploratory Data Analysis (EDA)

LAB 3

Module 4 : Probability & Statistics for Data Science

LAB 4

Module 5 : SQL & Databases for Data Science

LAB 5

Module 6 : Machine Learning Fundamentals (Supervised Learning)

LAB 6

Module 7 : Advanced Machine Learning (Ensemble & Feature Engineering)

LAB 7

Module 8 : Unsupervised Learning & Clustering

LAB 8

Learning Outcome

Reviews

🛣️ Data Science Level 1 Roadmap

Data Science Level 1

Data Science Level 2

Internship

Mini Project

Expected Jobs

🏆 Career Destinations

Related Courses