Eduvizo connects you with top educators and smart tools for fast, affordable, and personalized learning that gets results.
Complete Data Science Toolkit: Gain all the essential tools and knowledge you need to become a data scientist.
In-Demand Skills to Boost Your Resume:
Master key data science skills, including:
Statistical analysis
Python programming with NumPy, Pandas, Matplotlib, and Seaborn
Advanced statistical techniques
Data visualization with Tableau
Machine learning using StatsModels and scikit-learn
Deep learning with TensorFlow
Stand Out to Employers: Impress recruiters by demonstrating a solid understanding of the data science landscape.
Preprocess Data Like a Pro: Learn how to clean, transform, and prepare data for analysis and modeling.
Understand the Science Behind Machine Learning: Go beyond just using tools—grasp the theory and logic behind ML algorithms (a crucial element many courses overlook!).
Beginner-Friendly: No previous knowledge is required — we start from the absolute basics.
Step-by-Step Setup: You'll install Python, and we’ll guide you through the entire process step by step.
Excel Compatibility: Works with Microsoft Excel 2003, 2010, 2013, 2016, or Microsoft 365.
Aspiring Data Scientists: This course is perfect if you want to launch a career in data science or explore the field in depth.
Career-Changers: Ideal for anyone looking to build a strong, future-proof career in tech.
Beginners Welcome: No prior experience? No problem. The course starts with the fundamentals and gradually builds your skills step by step.
Data science is one of the most promising and in-demand careers of this century. It combines advanced analytics, programming, and critical thinking — making it a highly valued skill set in today’s digital world. Unsurprisingly, the demand for data scientists continues to surge across industries in the global job market.
Explore the comprehensive modules below, each designed to guide you through the essential concepts and practical techniques in Data Science. From foundational data analysis and visualization to advanced machine learning and predictive modeling, you’ll gain hands-on experience working with real-world datasets, uncovering insights, and building data-driven solutions. Develop the skills and confidence to transform raw data into impactful business decisions and drive innovation.
What is Data Science?
Data Science vs Data Analytics vs Machine Learning
Applications of Data Science
Lifecycle of a Data Science Project
Tools Used in Data Science (Python, R, SQL, etc.)
Python Basics: Variables, Data Types, Loops, Functions
Working with Libraries: NumPy, Pandas
Data Cleaning and Manipulation
File Handling and Regular Expressions
Matplotlib and Seaborn
Plotly (Optional)
Exploratory Data Analysis (EDA)
Dashboards (using Tableau/Power BI or Python Dash)
Descriptive Statistics (Mean, Median, Mode, Variance)
Probability Distributions
Hypothesis Testing
Inferential Statistics
Correlation and Covariance
Basics of SQL: SELECT, JOIN, GROUP BY, etc.
Advanced Queries
Data Aggregation and Filtering
Working with Databases (PostgreSQL/MySQL)
Introduction to Machine Learning
Supervised vs Unsupervised Learning
Linear and Logistic Regression
Decision Trees and Random Forest
Clustering: K-Means, Hierarchical
Model Evaluation (Confusion Matrix, ROC-AUC, etc.)
Natural Language Processing (NLP) Basics
Time Series Analysis
Feature Engineering
Model Deployment (Flask, Streamlit)
Real-world dataset analysis
Complete project: Data cleaning → EDA → Modeling → Deployment
Documentation & Presentation
Deep Learning Basics (Neural Networks, CNNs)
Big Data Tools Overview (Hadoop, Spark)
Git and GitHub for version control
Cloud Deployment (AWS/GCP basics)
Quality learning, simplified and budget-friendly – just for you!
The best decision I ever made! Eduvizo prepared me for my career and beyond.
Animesh ranjan
Software engineer
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