Data Structures and Algorithms

BY
Google via Udacity

Get into the system of data structure with Data Structures and Algorithms by Udacity.

Lavel

Intermediate

Mode

Online

Duration

3 Months

Fees

Free

Quick Facts

particular details
Medium of instructions English
Mode of learning Self study
Mode of Delivery Video and Text Based

Course overview

This Data Structures and Algorithms certification course will help you learn about Python, common data structures and algorithms. Candidates will go through some of the more common technical interview questions and how to respond. The relevance of how professional interviews follow a trend will be emphasised in this course. With  Data Structures and Algorithms training, candidates who understand the trend would be one step ahead of the race. 

To assess your skills, students can complete practising problems and quizzes. They'll then practise mock interviews to get detailed feedback about how they should progress. Candidates will be prepared for whatever the technical interviewer throws at them in the future after taking the Data Structures and Algorithms certification. This course is of the duration of four weeks, the learning will be provided via an online platform. 

The course will provide students with rich content learning material that is basically based on the fundamentals, this will make their basics stronger. The certification that the candidate will receive in the end will help him in his or her upcoming future. This particular Data Structures and Algorithms online course will help the students to be more effective and efficient in this field. 

The highlights

  • Four-week online Data Structures and Algorithms training 
  • Intermediate course 
  • Free cost powered by Google 
  • Instructed by industrial pros 
  • Self-paced learning programme 

Program offerings

  • Interactive quizzes
  • Rich learning content
  • Time schedules assignments
  • Scheduled lectures
  • Regular reading materials

Course and certificate fees

Type of course

Free

certificate availability

No

Eligibility criteria

Work experience 

To apply for Data Structures and Algorithms by Udacity, no prior work experience is needed.

Education 

To apply for the Data Structures and Algorithms certification course, candidates must be proficient in intermediate algebra and python. They should also be well versed in spoken and written English

Certification qualifying details 

The candidates must complete the entire programme successfully. 

What you will learn

Knowledge of algorithms

The candidates will learn and understand the following concepts in the Data Structures and Algorithms programme - 

  • Within four weeks of training, candidates will be taught how to remain efficient in public speaking if it comes to interview techniques. 
  • Throughout the Data Structures and Algorithms certification syllabus, candidates may face basic concepts like trees, domains in between. 
  • Candidates will have the opportunity to learn about the different dimensions of list-based collection systems. 
  • In a staged training programme, candidates can undertake themselves in interviews.
  • Candidates would be able to prepare their own plans after completing the course.
  • The emphasis of the course will be solely on teaching the applicant the background necessary for framing applications.
  • Students will be introduced to real-life scenarios as part of their preparation.
  • Different tree models will be introduced in between the course. 

The syllabus

Introduction

  • Get Help with Your Account
  • Getting Help
  • Introduction
  • Python Refresher
  • How to Solve Problems
  • Efficiency
  • Unscramble Computer Science Problems

Data Structures

  • Introduction to the Data Structures 
  • Arrays and Linked Lists
  • Stacks and Queues
  • Recursion
  • Trees
  • Maps and Hashing
  • Show Me the Data Structures

Basic Algorithms

  • Basic Algorithms
  • Sorting Algorithms
  • Faster Divide & Conquer Algorithms
  • Problems vs. Algorithms

Advanced Algorithms

  • Greedy Algorithms
  • Graph Algorithms
  • Dynamic Programming
  • A*
  • Route Planner

Introduction to Python Programming

  • Why Python Programming
  • Data Types and Operators
  • Data Structures in Python
  • Control Flow
  • Functions
  • Scripting
  • NumPy
  • Pandas
  • Advanced Topics

Career Services

  • Industry Research
  • Take 30 Min to Improve your LinkedIn
  • Optimize Your GitHub Profile

Technical Interview Practice

  • Technical Interview - Python

Admission details

The admission process for registering into the Data Structures and Algorithms online course is as follows - 

Step 1: Initially, visit the course website first.

Step 2: Choose "start free course" from the drop-down menu.

Step 3: The candidate must first build an account for any of their social media pages before beginning the course.

Step 4: They'll be guided to the course home page, where they'll find the syllabus and ranking patterns.

Step 5: The applicant has been accepted into the programme.

Scholarship Details

As of the fact that Data Structures and Algorithms training is a free course, no scholarship is granted for this. 

Evaluation process

Candidates must pass all internal quizzes and exams to obtain a credential at the end of the Data Structures and Algorithms programme. 

How it helps

The main Data Structures and Algorithms certification benefits that the course present is, it prepares candidates to be more efficient out there in the corporate world where they can exercise and practice their own learned strategies and plans. Candidates can learn how to respond to some of the more difficult professional interview questions. 

This course would emphasise the importance of how professional interviews follow a pattern. Candidates who grasp the pattern will be one step ahead of the competition with Data Structures and Algorithms preparation. Candidates can avail of Data Structures and Algorithms certification benefits and take advantage of it anywhere no matter what the field is. 

The course will also provide students with rich content learning material that is primarily focused on the fundamentals, allowing them to strengthen their fundamentals. The endorsement that the applicant will obtain in the end will be beneficial to him in the future. This online course on Data Structures and Algorithms will assist students in becoming more successful and productive in this area. The course will make the students more productive in nature that will somewhere improve their performance too. The candidate will understand every minor aspect in detail. 

Instructors

Ms Brynn Claypoole
Software Engineer
Freelancer

FAQs

Where do candidates apply for the qualification course?

Candidates must first apply for the Data Structures and Algorithms certification course on the website before registering.

Who would be in charge of this course's instruction?

Google agents and companies with vast expertise in the industry will teach the Data Structures and Algorithms online course.

Is there some kind of real-world exposure in this Data Structures and Algorithms programme?

This course does not provide any practical training since it is purely online.

How many lessons were there in total in this course?

This course is divided into eight parts, each of which is broken down into weeks. 

What will be the primary topic of the certification programme?

The main aim of the programme is to improve the foundations of data structure formation.

What distinguishes this course from others?

The course is largely made up of rich learning materials and engaging quizzes for assessment.

What is the planned course completion date?

Candidates must complete the course in four weeks from the time they begin it.

What are the fees that candidates will have to pay?

Since the course was free, the candidate did not have to pay anything.

Who is eligible to enrol this semester?

This course is for those interested in learning about data structures and similar and linked algorithms.

In whom association, this programme will run?

The Data Structures and Algorithms training will take place underneath Google. 

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