Learn Data Science
From Data Science Fundamentals to Advanced Concepts—Learn Everything in One Course
What you'll learn
- Artificial Intelligence (AI)
- Machine Learning
- Data Analysis and Predictive Model Building
Description
Introduction
Data Science is a vast field that combines principles of engineering, artificial intelligence, statistics, and modern computing technologies.
Today, Data Science is a major part of our everyday lives. Whether it's Amazon recommending the next product you might want to buy, Google Maps finding the fastest route to your destination, or your smartphone keyboard predicting the next word you'll type—these are all real-world applications of Data Science.
As a result, companies are constantly looking for professionals with Data Science skills.
To build a successful career in Data Science, you need to learn several important concepts, including:
Python Programming Statistics Data Retrieval Using SQL Artificial Intelligence Algorithms Machine Learning & Data Modeling Techniques And much more...
In this course, you'll learn all of these topics in Marathi, making complex concepts easy to understand.
Since the course is completely recorded, you can learn anytime, at your own pace and convenience.
We've created this comprehensive Data Science course in Marathi to help you build a strong foundation and prepare for a successful career in the field.
Course content
Introduction to Data Science2 lessons
- Introduction to Data Science
- History of Data Science
Data Science and Basic Data Analysis9 lessons
- Data Science
- Introduction to Data Science
- Numerical Data Science
- Categorizing Data
- Outliers
- Exploratory Data Analysis (EDA)
- Data Point
- Correlation Coefficient
- Types of Data Analysis
Basic Statistics3 lessons
- Basic Statistics – Mean
- Basic Statistics – Mode and Median
- Basic Statistics – Standard Deviation
Introduction to SQL5 lessons
- Structured Query Language (SQL) (Reading Material)
- SQL Installation
- How Data is Stored in a Database
- PostgreSQL Database Setup
- DVD Rental Files
Basic SQL Queries9 lessons
- SQL SELECT Statement
- DISTINCT and COUNT
- WHERE Clause
- Sorting Data – ORDER BY Clause
- Limiting Results – LIMIT
- BETWEEN Clause
- LIKE, ILIKE, SIMILAR TO
- GROUP BY
- MIN / MAX
SQL Joins and Tables9 lessons
- Inner Join – Part 1
- What is a Join? Why Do We Need It?
- Cross Product / Cross Join
- When Should You Use an Inner Join?
- Left Join
- Right Join
- Inner Join Example
- Inner Join Example – 2
- Left Join Example
SQL Table Design and Advanced Concepts12 lessons
- Table Design
- Entities and Entity Relationships
- Creating Tables – CREATE TABLE, INSERT INTO
- Deleting Tables
- Updating Tables
- Constraints and Foreign Keys
- Subqueries
- Using CASE Statements
- Logical Processing
- Views in SQL – Using Views in PostgreSQL
- Expressions
- Date & Time Functions
Python Basics4 lessons
- Anaconda and Jupyter Notebook
- Why Use Jupyter Notebook?
- Variables
- Variables and Types
NumPy Arrays and Operations11 lessons
- Introduction to NumPy Arrays
- Array Dimensions
- Two-Dimensional Arrays
- Array Shape
- Array Data Types
- Array Operations
- Array Indexing
- Array Slicing and Joining
- Array Sorting and Searching
- Array Filtering
- Sum Iterator and Sum Array
Pandas Library and Data Cleaning18 lessons
- Introduction to the Pandas Library
- What is a CSV File?
- Reading Data Using Pandas
- Checking Data Frames
- Checking Data Types
- Data Selection
- Column Selection
- Missing Data
- Data Cleaning
- Removing Duplicate Rows
- Exploratory Data Analysis (EDA)
- Plotting
- Outlier Detection
- Normalization – Min-Max
- Min-Max in Action
- Label Encoding
- Label Encoding in Action
- Value Replacement
Data Visualization2 lessons
- Introduction to the Seaborn Library
- Introduction to the Matplotlib Library
Machine Learning Basics10 lessons
- Introduction to Machine Learning
- What is Linear Regression?
- Linear Regression Equations
- Linear Regression Models
- Linear Regression in Python
- Train-Test Dataset
- Logistic Regression
- Artificial Intelligence (AI) and Machine Learning
- Decision Tree
- Decision Tree in Python
Course features
Difficulty
Advanced
Duration
90 Hours
Language
English
Audience
Programmers | Aspiring Data Scientists | Students | Business Professionals
Skills
Artificial Intelligence (AI), Machine Learning, Data Analysis, and Building Predictive Models
Certificate
Earn a certificate upon completion
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