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Greedy Algorithms Full Course for Technical Interviews
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Are you preparing for technical interviews and want to master one of the key algorithmic techniques? This full course on Greedy Algorithms is designed to help you understand and apply greedy algorithms effectively.
In this course, you'll learn:
What greedy algorithms are
When and how to use them
Real-life examples to clarify concepts
Key characteristics of greedy algorithms
The difference between greedy algorithms and dynamic programming
I also solve the top 10 most asked, most liked, and most popular greedy algorithm problems on LeetCode, providing clear, step-by-step solutions.
This course is free because I believe education should be accessible to everyone, helping you grow in your career.
Course Outline:
Introduction: 00:00:00
What is Greedy Algorithm: 00:00:24
Greedy Algorithm vs Dynamic Programming: 00:02:55
Characteristics of Greedy Algorithms: 00:05:13
Problem Solving:
Assign Cookies: 00:08:25
Valid Parenthesis String: 00:17:00
Gas Station: 00:29:22
Hand of Straights: 00:41:00
Largest Number: 00:56:34
Maximum Subarray: 01:09:30
Merge Triplets to Form Target Triplet: 01:19:00
Jump Game: 01:29:39
Jump Game II: 01:49:16
Partition Labels: 02:04:50
This course is ideal for anyone looking to sharpen their problem-solving skills and excel in coding interviews. Whether you're a beginner or an experienced programmer, this course will guide you through the most important concepts and challenges of greedy algorithms.
By the end of this course, you'll become master at solving all greedy algorithm interview questions and be well-equipped to handle any coding challange that comes your way in technical interviews.
-------------------------------------------------------------------------------------------------------------------------
(Contact me for Business Inquiries):
GitHub Repository for Questions solved so far:
(Support the channel, if videos helps you in any manner... Give me a Coffee)
Here is a list of some of the awesome companies in the tech world:
FAANG,
Meta,
Facebook,
Google,
Amazon,
Netflix,
Microsoft,
apple,
doordash,
roblox,
stripe,
instacart,
uber,
lyft,
twitter,
linked In,
pinetrest,
bloomberg,
robinhood,
Goldman Sachs,
box,
two sigma,
byte dance,
tik tok,
air bnb,
nuro,
ui path,
oracle,
twitch,
data bricks,
waymo,
dropbox,
coinbase,
snowflake,
snap,
nvdia,
broadcom,
slack,
intel,
cisco,
indeed,
salesforce,
reddit,
wayfair,
okta,
splunk,
service now,
coursera,
square,
upgrade,
mozilla,
yelp,
unity,
ebay,
affirm,
stach adapt,
amplitude,
github,
wish,
brex,
etsy,
chime,
shopify,
amd,
GoDaddy,
IBM
Are you preparing for technical interviews and want to master one of the key algorithmic techniques? This full course on Greedy Algorithms is designed to help you understand and apply greedy algorithms effectively.
In this course, you'll learn:
What greedy algorithms are
When and how to use them
Real-life examples to clarify concepts
Key characteristics of greedy algorithms
The difference between greedy algorithms and dynamic programming
I also solve the top 10 most asked, most liked, and most popular greedy algorithm problems on LeetCode, providing clear, step-by-step solutions.
This course is free because I believe education should be accessible to everyone, helping you grow in your career.
Course Outline:
Introduction: 00:00:00
What is Greedy Algorithm: 00:00:24
Greedy Algorithm vs Dynamic Programming: 00:02:55
Characteristics of Greedy Algorithms: 00:05:13
Problem Solving:
Assign Cookies: 00:08:25
Valid Parenthesis String: 00:17:00
Gas Station: 00:29:22
Hand of Straights: 00:41:00
Largest Number: 00:56:34
Maximum Subarray: 01:09:30
Merge Triplets to Form Target Triplet: 01:19:00
Jump Game: 01:29:39
Jump Game II: 01:49:16
Partition Labels: 02:04:50
This course is ideal for anyone looking to sharpen their problem-solving skills and excel in coding interviews. Whether you're a beginner or an experienced programmer, this course will guide you through the most important concepts and challenges of greedy algorithms.
By the end of this course, you'll become master at solving all greedy algorithm interview questions and be well-equipped to handle any coding challange that comes your way in technical interviews.
-------------------------------------------------------------------------------------------------------------------------
(Contact me for Business Inquiries):
GitHub Repository for Questions solved so far:
(Support the channel, if videos helps you in any manner... Give me a Coffee)
Here is a list of some of the awesome companies in the tech world:
FAANG,
Meta,
Facebook,
Google,
Amazon,
Netflix,
Microsoft,
apple,
doordash,
roblox,
stripe,
instacart,
uber,
lyft,
twitter,
linked In,
pinetrest,
bloomberg,
robinhood,
Goldman Sachs,
box,
two sigma,
byte dance,
tik tok,
air bnb,
nuro,
ui path,
oracle,
twitch,
data bricks,
waymo,
dropbox,
coinbase,
snowflake,
snap,
nvdia,
broadcom,
slack,
intel,
cisco,
indeed,
salesforce,
reddit,
wayfair,
okta,
splunk,
service now,
coursera,
square,
upgrade,
mozilla,
yelp,
unity,
ebay,
affirm,
stach adapt,
amplitude,
github,
wish,
brex,
etsy,
chime,
shopify,
amd,
GoDaddy,
IBM
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