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Data Science

Avanteia Courses Course Details
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Data Science: Level-02

(1,230 reviews)
author
Created by
Avanteia

Total Enrolled

12,580

Last Update

15 September 2024

Category

Data Science

Introduction to Data Science Level-02

Overview:

  • Master deep learning, NLP, and scalable ML systems. Build AI solutions for healthcare, finance, IoT, and more.
  • Duration: 3 Months

Topics Covered:

  • Excel
  • Data Clean
  • Python
  • Analysis
  • Pandas
  • Visuals
  • Real Projects
  • AI Link

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

Module 9 : Deep Learning & Neural Networks
  • Basics of neural networks
  • Activation functions & backpropagation
  • TensorFlow & Keras introduction

LAB 9
  • Build a simple ANN in Google Colab (TensorFlow/Keras)
  • MNIST digit classification

Module 10 : Natural Language Processing (NLP)
  • Text preprocessing (tokenization, stopwords, stemming, lemmatization)
  • Bag of Words, TF-IDF
  • Sentiment analysis basics

LAB 10
  • Perform text cleaning using NLTK
  • Build a sentiment classifier using Scikit-learn

Module 11 : Big Data & Cloud in Data Science
  • Introduction to Big Data (Hadoop, Spark)
  • Cloud tools (Google BigQuery, AWS free tier, Azure ML Studio)
  • Handling large datasets efficiently

LAB 11
  • Run queries on Google BigQuery free tier
  • Process data using PySpark on Colab

Module 12 : Capstone Project & Deployment
  • End-to-End Data Science Project
  • Model deployment using Flask + Streamlit + GitHub
  • Best practices in reporting & documentation

LAB 12
  • Choose a dataset (finance, healthcare, retail, social media)
  • Perform EDA → ML/DL → Visualization → Deployment
  • Deploy on Streamlit Cloud / Heroku (free)


Learning Outcome

  • Master advanced ML, deep learning, and automation. Optimize models for performance and solve complex business problems.

Reviews

  • image
    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!

  • image
    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.

  • image
    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
image
  • Level
    Level-02
  • Modules
    12
  • Duration
    3 Months
  • Category
    Data Science
  • Language
    English
  • Certificate
    Yes
Enroll Now

🛣️ Data Science Level 2 Roadmap

Advance your data science skills with deep learning, big data, cloud tools, and real-world applications to become an industry-ready data scientist.

1
Step 1
📊

Data Science Level 2

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

View Syllabus
2
Step 2
🧑‍💻

Internship

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

1 year
FREE
3
Step 3
📝

Mini Project

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

6 Months
4
Step 4
💼

Expected Jobs

Move beyond analyst roles into advanced data science, ML, and AI positions.

Data Scientist
Machine Learning Engineer
Deep Learning Engineer
NLP Engineer
Big Data Specialist
AI Research Associate
🎯

🏆 Career Destinations

Entry-level (India)
₹8–12 LPA
Mid-level (India)
₹15–25 LPA
Senior-level (India)
₹30–45 LPA+
🌎 Global Roles
$90,000–$150,000

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