FreeDigital MarketingDay 19 SEO Course in Hindi | On-Page, Off-Page & Technical SEO Explained | Digital Marketing Class
FreeData ScienceDay 55 Matplotlib Pie Charts & Histograms in Python | plt.pie(), autopct, explode, startangle & plt.hist()
FreeData ScienceDay 54 Bar Charts in Matplotlib plt.bar(), plt.barh(), Grouped & Stacked Bar Charts Python
FreeData ScienceDay 53 Python Matplotlib Matplotlib Line Charts in Python Multiple Lines, Markers, Styles, Labels, Grid & Ticks
FreeData ScienceDay 52 Python Matplotlib Fundamentals, Line Charts, Graph Types & Data Visualization
FreeData ScienceDay 51 Excel, JSON & DateTime in Pandas
FreeData ScienceDay 50 Pandas Merge, Join & CSV
FreeDigital MarketingDay 15 Part 03 Digital Marketing CSS Tutorial for Beginners in Hindi | CSS CSS Flexbox + Position + Sticky + Z-Index | Complete CSS Layout Masterclass
FreeData ScienceDay 49 Combining DataFrames Concatenation
FreeDigital MarketingDay 15 Part 02 Digital Marketing CSS Tutorial for Beginners in Hindi CSS Box Model, Padding, Margin, Fonts, Display, Position & Z-Index
FreeDigital MarketingDay 15 Part 01 Digital Marketing CSS Tutorial for Beginners in Hindi CSS Width, Height, Text Decoration & Borders
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PremiumData SciencePractice Pandas GroupBy and aggregation using a 360-row real-world sales dataset with 60 practical questions, covering groupby(), single and multiple-column grouping, sum(), mean(), count(), min(), max(), agg(), multiple aggregations, named aggregation, and business summary reports.
FreeData ScienceDay 48 Practice Questions GroupBy & Aggregation DataSet
FreeData ScienceDay 48 | Pandas GroupBy & Aggregation | Grouping Data for Analysis | Python Data Science
PremiumData SciencePractice with 60 progressively challenging questions based on a 500-row, 22-column real-world employee dataset. Strengthen your Python and Pandas skills through map(), apply(), lambda functions, data transformation, categorization, and practical analytics challenges.
FreeDigital MarketingDay 14 Digital Marketing CSS Tutorial for Beginners in Hindi CSS Introduction, Selectors, Colors & Backgrounds
FreeDay 47 Practice Questions Apply(), Map() & Transform
FreeData ScienceDay 47 Apply, Map & Transform
PremiumData SciencePractice Pandas with a real-world sales dataset containing 160+ rows and 60 challenging questions. Learn sorting, statistical operations, missing values, sales analysis, product and regional performance, and practical DataFrame analysis. Designed for hands-on Data Science and Data Analytics practice.
FreeDigital MarketingDay 13 Digital Marketing HTML Forms, Input Types, Select, Radio, Checkbox & Datalist
FreeData ScienceDay 46 Sorting DataFrames + Mathematical Operations
FreeDigital MarketingDay 12 Digital Marketing HTML Div, Span, Iframe, Audio & Video PDF, YouTube & Google Maps Embed
FreeData ScienceDay 45 Pandas Duplicate Data.pdf
FreeDigital MarketingDay 11 Digital Marketing HTML Lists & Tables, Ordered, Unordered Lists
PremiumData SciencePractice real-world Pandas data cleaning with a realistic e-commerce dataset and master missing-value detection, analysis, and handling using isna(), notna(), dropna(), fillna(), mean, median, and mode.
Free AssignmentData ScienceAssignment 21 | Handling Missing Values
FreeData ScienceDay 44 Handling Missing Values
FreeDigital MarketingDay 10 Digital Marketing HTML Anchor, Quotation, Citation, Abbr & Address
FreeData ScienceDay 43 | Adding, Updating & Removing Data
FreeDigital MarketingDay 09 Digital Marketing HTML Text Formatting Tags
Free AssignmentData ScienceAssignment 20 | Filtering Data
FreeData ScienceDay 42 Filtering Data
FreeDigital MarketingDay 08 Digital Marketing HTML
Free AssignmentData ScienceAssignment 19 | Selecting Data
FreeData ScienceDay 41 Selecting Data
FreeDigital MarketingDay 07 Digital Marketing HTML Introduction
FreeDigital MarketingDay 06 Marketing Psychology, Copywriting & Consumer Behavior
FreeDigital MarketingDay 05 Content Marketing
FreeData ScienceDay 40 DataFrame Inspection
FreeData ScienceDay 39 Pandas DataFrame
FreeData ScienceDay 38 Pandas Series
FreeDigital MarketingDay 04 — Branding & Personal Branding
FreeData ScienceDay 37 : Pandas Introduction, Series, DataFrame and Data Analysis
FreeData SciencePandas in Python from scratch. This beginner-friendly guide explains what Pandas is, why it is used in data science, Series, DataFrame, installation, real-world applications, data analysis workflow, and essential Pandas terminology with practical Python examples.
FreeData ScienceDay 36 NumPy File Handling, Performance & Final Project
FreeDigital MarketingDay 03: Customer Journey, Target Audience & Buyer Persona
FreeDigital MarketingDay 02: Understanding Websites, Domains, Hosting & Business Funnel
FreeData ScienceDay 35 NumPy Random Module – Generate Random Numbers in Python
Free AssignmentData ScienceStrengthen your NumPy skills with Assignment 18, featuring 20 level-wise practice questions based on real-world Data Science scenarios. Practice np.concatenate(), np.hstack(), np.vstack(), np.dstack(), np.split(), np.hsplit(), np.vsplit(), Boolean Indexing, Axis Operations, Sorting, Reshaping, and more to improve your problem-solving skills.
FreeData ScienceDay 34 Joining, Stacking and Splitting Arrays in NumPy
FreeDigital MarketingSyllabus - Digital Marketing
FreeDigital MarketingIn this first session, you'll learn the fundamentals of Digital Marketing, understand why it has become one of the fastest-growing career fields, explore the Digital Marketing ecosystem, compare Traditional Marketing vs Digital Marketing, discover the latest marketing trends in 2026 including AI Marketing, AEO (Answer Engine Optimization), GEO (Generative Engine Optimization), and explore exciting career opportunities in the digital marketing industry.
FreeData ScienceDay 33 NumPy Iteration, Copy vs View, Sorting and Searching Arrays
FreeData ScienceDay 32 NumPy Broadcasting, Axis Operations and Boolean Indexing
Free AssignmentAssignment 17: NumPy Mathematical Operations & Statistical Functions Challenge
FreeData ScienceDay 31 Numpy Mathematical Operations and Statistical Functions
FreeDay 30 Numpy Indexing-Slicing-Reshaping
Free AssignmentData ScienceAssignment 16 | NumPy Fundamentals Challenge
FreeDay 29 Numpy Array Properties
Free AssignmentData ScienceAssignment Optional | Numpy Introduction
FreeData ScienceDay 28 Numpy Introduction
Free AssignmentData ScienceAssignment 15 | Exception Handling
FreeData ScienceDay 27 Exception Handling in Python
FreeData ScienceDay 26 Abstraction in Python
Free AssignmentData ScienceAssignment 14 Encapsulation
FreeData ScienceEncapsulation Day 25
Free AssignmentData ScienceAssignment 03 Functions
Free AssignmentData ScienceAssignment 13 Polymorphism
Free AssignmentData ScienceAssignment 12 Method Overriding in Python
Free AssignmentData ScienceAssignment 11 Constructor in inheritance & Super( )
Free AssignmentData ScienceAssignment 10 Oops Inheritance
Free AssignmentData ScienceAssignment 09 DictionaryDictionary Methods
Free AssignmentData ScienceAssignment 08 Set-Set Methods
Free AssignmentData ScienceAssignment 07 TupleTuple Methods
Free AssignmentData ScienceAssignment 06 LISTLIST Methods
Free AssignmentData ScienceAssignment 05 Solve this Questions
Free AssignmentData ScienceAssignment 04 Match Case
Free AssignmentData ScienceAssignment 02 Python Loops
Free AssignmentData ScienceAssignment 01 Input If-else Basics
FreeDay 24 Polymorphism
FreeData ScienceDay 23 Method Overriding in Python
FreeData ScienceDay 22 Constructor in inheritance & Super( ) Function
FreeData ScienceDay 21 Types of Inheritance (Multilevel, Hierarchical, Multiple, Hybrid Inheritance)
FreeData ScienceDay 20 Introduction to Inheritance + Single Inheritance
FreeData ScienceDay 19 Object-Oriented Programming (OOP) in Python
FreeData ScienceDay 18 Python File Handling Explained Read, Write, Append & with open()
FreeData ScienceDay 17 Python-Dictionary-Methods Part 02
FreeData ScienceDay 16 Python Dictionaries Explained Dictionary in Python for Beginners
FreeData ScienceDay 15 Python Sets Explained Set Methods, Operations, Union, Intersection & More
FreeData ScienceDay 14 Python Sets Explained Set Methods, Operations, Union, Intersection & More
FreeData ScienceDay 13 Python Tuples Explained Tuple Methods, Packing, Unpacking & Slicing
FreeData ScienceDay 12 Python List Methods Explained append, insert, remove, pop, sort & More
FreeData ScienceDay 11 Data Structure Introduction Python Lists Explained from Scratch
FreeData ScienceDay 10 Python Match Case Statement Match Case vs If Else with Examples
FreeData ScienceDay 09 Python Functions Functions, Parameters and Arguments in Python
FreeData ScienceDay 08 Python Loops For Loop, While Loop, Break Continue Pass
FreeData ScienceIn this note, you will learn how to take input from the user and make decisions in Python using conditional statements. We will cover the input() function, type conversion, and Python conditions including if, else, and elif statements with simple real-world examples.
FreeData ScienceDay 06 Data Science | Python Operators
FreeData ScienceDay 05 Data Science Python Strings
FreeData ScienceDay 04 Data Science ,Jupyter Lab Writing Your First Python Program
FreeData ScienceDay 03 Data Science | Conda Commands Jupyter Lab
FreeData ScienceDay 02 Installation
FreeIntroduction To data Science
FreeAnalyzed employee data to identify factors contributing to employee attrition and retention. Cleaned and transformed HR datasets to evaluate trends in salary, job role, work experience, satisfaction, and attrition rate. Built an interactive dashboard to track key HR metrics and visualize employee churn patterns. Provided insights to help improve employee retention strategies and workforce planning.
FreeA simple comparison of SEO and GEO, explaining how search is shifting from ranking on Google to being selected by AI-driven answers.
FreeMCQs with answers on Social Media Marketing
FreeNotes on AIDA funnel
FreeShort notes on Affiliate Marketing
FreeThis document covers beginner notes on content writing, explaining its meaning, importance, types, skills, process, and career opportunities.
FreeDigital Marketing: The process of promoting products or services through online channels like search engines, social media, websites, and email.
FreeColor theory in graphic design is the study of how colors are combined and used to create visually appealing designs and communicate messages effectively.
FreeSEO improves website visibility on search engines, while SMM promotes brands and engages audiences through social media platforms.
FreeThese notes provide 20 objective questions with answers covering key concepts, metrics, tools, and strategies in social media marketing for exam and interview preparation.
FreeA collection of basic SEO objective questions with answers designed to help beginners understand key search engine optimization concepts and prepare for quizzes, exams, or interviews.
FreeA beginner-friendly guide covering essential digital marketing interview questions with simple and clear answers for quick preparation.
FreeThese notes explain the concept of Online Reputation Management (ORM), its importance, components, and process. They help understand how businesses monitor reviews, handle feedback, and maintain a positive brand image online.
FreeSimple notes explaining digital marketing, its difference from traditional marketing, and key components with easy examples for quick understanding and revision
FreeBeginner-friendly notes explaining free email marketing tools, their purpose, and step-by-step usage for sending, designing, automating, and improving email campaigns.
FreeConcise beginner-friendly notes explaining the fundamentals of email marketing, including strategy, list building, personalization, automation, and drip campaigns.
