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Cohort 141 - (Da/Ds/GenAI - DK)
Course content
27 sections | 48 lessons
Expand all sections
Link, passcode & Updates
1 Lessons
Orientation Call
1 Lessons
Introduction to Data Science, Introduction to Python, Structured, Unstructured & Semi-Structured Data, Variables If condition, Case Study
2 Lessons
Trainer Profile, Introduction to Data Science, Salary Packages in Data Science, Coding Practice in Python, Collab, Visual Studio Code
2 Lessons
Type Conversion, Variables, Python Syntax Rules, Data Types (int, float, str, bool), Taking User Input, Output Statements, Coding Practice in Python
2 Lessons
Operators (Arithmetic, Logical, Comparison), Conditional Statements (if, elif, else), Nested Conditions
2 Lessons
For Loop, While Loop, Break, Continue, Pass
2 Lessons
Functions, Function Arguments (default, keyword), Lambda Functions
2 Lessons
Strings and String Methods, L1 Python Completed, Tuples, Sets
2 Lessons
Dictionaries, List Comprehension, Modules and Import Statement, Installing Python and IDE Setup, Keywords and Identifiers
2 Lessons
Working with Built-in Modules (math, random), File Handling (read, write), Exception Handling (try, except), Object-Oriented Programming Basics, Classes and Objects
2 Lessons
Coding Practice in Python
2 Lessons
Introduction to Data Science, Data Science Life Cycle, Types of Data (Structured, Unstructured, Semi-structured), Data Sources (Databases, APIs, Files), Data Collection Techniques, Data Science Tools Overview, Python Libraries for Data Analysis, NumPy Arrays, Waterfall cycle
2 Lessons
Array Operations, Pandas Series, Pandas DataFrame, Data Loading (CSV, Excel, JSON), Data Inspection (head, info, describe)
2 Lessons
Data Cleaning Basics, Handling Missing Values, Removing Duplicates, Data Type Conversion, String Data Processing, Data Filtering, Sorting Data, Grouping and Aggregation, Merging and Joining Data
2 Lessons
Reshaping Data (pivot, melt), Date and Time Handling, Descriptive Statistics, Correlation Analysis, Data Visualization Principles, Matplotlib Basics, Seaborn Basics, Exploratory Data Analysis (EDA) Workflow
2 Lessons
Coding Practice in Data Science
2 Lessons
Coding Practice in Data Science
2 Lessons
Introduction to SQL, What is Database, Types of Databases, Relational Database Concept, Tables, Rows, and Columns, Data Types in SQL, Creating a Database, Creating a TableInserting Data, Selecting Data
2 Lessons
Sorting Data using ORDER BY, Limiting Results, Updating Data, Deleting Data, Primary Key, Foreign Key, NULL Values, Aggregate Functions SUM COUNT AVG, GROUP BY, HAVING Clause, Joins Overview
2 Lessons
INNER JOIN, LEFT JOIN, Subqueries Basics, Index Basics, Introduction to Views, Basic UI Elements – title, header, text, Buttons and Callbacks, Selectbox, Multiselect, Radio, Input Widgets – text_input, number_input
2 Lessons
11th April
1 Lessons
12th April
1 Lessons
Linear Regression, Logistic Regression, Decision Tree, Random Forest Algorithm, Uploading Project On Github, Zomato Dashboard in Blinkit(Project)
2 Lessons
LLM, Train Test Split, Shape of X_train, Model Score, Kaggle, Feature selection, Label Encoding, One Hot Encoding, Random State (42)
2 Lessons
25th April
1 Lessons
26th April
1 Lessons
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