Hi, All
For jobs in 2024, you need to have an ATS RESUME.
I have published an article on how to create an ATS resume for jobs.
Here is the link.
https://www.linkedin.com/posts/akansha-yadav24_techjobs-resumewriting-applicanttrackingsystem-activity-7186966376287297536-FWOh?utm_source=share&utm_medium=member_android
Don't forget to check this out and comment your views on this.
β Follow @codingdidi
For jobs in 2024, you need to have an ATS RESUME.
I have published an article on how to create an ATS resume for jobs.
Here is the link.
https://www.linkedin.com/posts/akansha-yadav24_techjobs-resumewriting-applicanttrackingsystem-activity-7186966376287297536-FWOh?utm_source=share&utm_medium=member_android
Don't forget to check this out and comment your views on this.
β Follow @codingdidi
Linkedin
Akansha Yadav on LinkedIn: Beat the Algorithm: Crafting an ATS-Friendly Resume for Tech Jobs
Land Your Dream Tech Job: Beat the Applicant Tracking System
The Applicant Tracking System (ATS) is a reality of today's job market. But don't let algorithmsβ¦
The Applicant Tracking System (ATS) is a reality of today's job market. But don't let algorithmsβ¦
π1
Hi, All
Pandas Day-2 video is live on YT.
Go check it out.
Here are the links.
IN HINDI:- https://youtu.be/xSrb_Cds-ws?si=Aiteble51O9nmlhe
In English:-
https://youtu.be/lWNogRvSbtQ?si=vpKKIlhpLjah_aPX
ππ©·Don't forget to comment down your views and thank me in the comment section π.
I'm waiting for your comment.
----Share this playlist with your friends π----
β FOLLOW @CODINGDIDI
Pandas Day-2 video is live on YT.
Go check it out.
Here are the links.
IN HINDI:- https://youtu.be/xSrb_Cds-ws?si=Aiteble51O9nmlhe
In English:-
https://youtu.be/lWNogRvSbtQ?si=vpKKIlhpLjah_aPX
ππ©·Don't forget to comment down your views and thank me in the comment section π.
I'm waiting for your comment.
----Share this playlist with your friends π----
β FOLLOW @CODINGDIDI
YouTube
Day-2 Pandas Series Made Easy! Create Series Like a Pro (Multiple Methods)
Unleash the power of pandas with Series! In this jam-packed video, you'll master the art of creating Series in pandas. We'll dive deep into various methods, from using lists and dictionaries to exploring scalar values.
πͺGithub repo link: https://github.com/Akanshaβ¦
πͺGithub repo link: https://github.com/Akanshaβ¦
π2β€1
@Codingdidi
Roadmap for Data scientist.pdf
Here's the roadmap for the data science role.
@Codingdidi
SQL Roadmap.pdf
Hi, all
Here's the pdf to learn SQL from scratch with resources.
A complete roadmap which I have divided into multiple parts/weeks/levels.
Do check it out.
β Follow @codingdidi
Here's the pdf to learn SQL from scratch with resources.
A complete roadmap which I have divided into multiple parts/weeks/levels.
Do check it out.
β Follow @codingdidi
π3
Happy Friday everyone!!
Rackspace Technology is hiring for a Financial Analyst !
Qualification : Bachelor's degree
Experience : Freshers / Experienced
Location : Work from home
Apply link :
https://jobs.lever.co/rackspace/b2587717-e8d5-4fbb-b33b-4da51dc1cce8/apply?source=LinkedIn
β οΈHi, This job is for karnataka applicants.β οΈ
Amazon is Hiring for a Data Analyst Role
Location : Karnataka
Qualification : Bachelor's degree
Work Experience : 1+ years
Preferred Qualifications: SQL/Python/R, scripting, MS Excel
πJoin our Community
β Follow @codingdidi
https://www.amazon.jobs/en/jobs/2613934/data-analyst
Amazon is Hiring for a Data Analyst Role
Location : Karnataka
Qualification : Bachelor's degree
Work Experience : 1+ years
Preferred Qualifications: SQL/Python/R, scripting, MS Excel
πJoin our Community
β Follow @codingdidi
https://www.amazon.jobs/en/jobs/2613934/data-analyst
@Codingdidi
Data Analyst Interview Q&A .pdf
Hi, all
Here's the list of questions which are for the Data analyst role.
Do check it out.β
And share it with your fellow friendsππ
Follow @codingdidi
Here's the list of questions which are for the Data analyst role.
Do check it out.β
And share it with your fellow friendsππ
Follow @codingdidi
π1
COMMON TERMINOLOGIES IN PYTHON
Have you ever gotten into a discussion with a programmer before? Did you find some of the Terminologies mentioned strange or you didn't fully understand them?
In this series, we would be looking at the common Terminologies in python.
It is important to know these Terminologies to be able to professionally/properly explain your codes to people and/or to be able to understand what people say in an instant when these codes are mentioned. Below are a few:
IDLE (Integrated Development and Learning Environment) - this is an environment that allows you to easily write Python code. IDLE can be used to execute a single statements and create, modify, and execute Python scripts.
Python Shell - This is the interactive environment that allows you to type in python code and execute them immediately
System Python - This is the version of python that comes with your operating system
Prompt - usually represented by the symbol ">>>" and it simply means that python is waiting for you to give it some instructions
REPL (Read-Evaluate-Print-Loop) - this refers to the sequence of events in your interactive window in form of a loop (python reads the code inputted>the code is evaluated>output is printed)
Argument - this is a value that is passed to a function when called eg print("Hello World")... "Hello World" is the argument that is being passed.
Function - this is a code that takes some input, known as arguments, processes that input and produces an output called a return value. E.g print("Hello World")... print is the function
Return Value - this is the value that a function returns to the calling script or function when it completes its task (in other words, Output). E.g.
>>> print("Hello World")
Hello World
Where Hello World is your return value.
Note: A return value can be any of these variable types: handle, integer, object, or string
Script - This is a file where you store your python code in a text file and execute all of the code with a single command
Script files - this is a file containing a group of python scripts.
π«ΆFollow @codingdidi β
Have you ever gotten into a discussion with a programmer before? Did you find some of the Terminologies mentioned strange or you didn't fully understand them?
In this series, we would be looking at the common Terminologies in python.
It is important to know these Terminologies to be able to professionally/properly explain your codes to people and/or to be able to understand what people say in an instant when these codes are mentioned. Below are a few:
IDLE (Integrated Development and Learning Environment) - this is an environment that allows you to easily write Python code. IDLE can be used to execute a single statements and create, modify, and execute Python scripts.
Python Shell - This is the interactive environment that allows you to type in python code and execute them immediately
System Python - This is the version of python that comes with your operating system
Prompt - usually represented by the symbol ">>>" and it simply means that python is waiting for you to give it some instructions
REPL (Read-Evaluate-Print-Loop) - this refers to the sequence of events in your interactive window in form of a loop (python reads the code inputted>the code is evaluated>output is printed)
Argument - this is a value that is passed to a function when called eg print("Hello World")... "Hello World" is the argument that is being passed.
Function - this is a code that takes some input, known as arguments, processes that input and produces an output called a return value. E.g print("Hello World")... print is the function
Return Value - this is the value that a function returns to the calling script or function when it completes its task (in other words, Output). E.g.
>>> print("Hello World")
Hello World
Where Hello World is your return value.
Note: A return value can be any of these variable types: handle, integer, object, or string
Script - This is a file where you store your python code in a text file and execute all of the code with a single command
Script files - this is a file containing a group of python scripts.
π«ΆFollow @codingdidi β
π2
Hi, π€ everyone!!
https://www.instagram.com/reel/C6QN86Crvtv/?igsh=MTBpcXYxa2xjdHhpcw==
Here are the links!
1. SQL Data Analytics Project
https://www.youtube.com/watch?v=GHtX0QXfi6g&t=1664s
2. Data Analyst Portfolio Project - SQL
https://www.youtube.com/watch?v=0rB_memC-dA
3. Data Analyst Portfolio Project Complete Playlist
https://www.youtube.com/watch?v=qfyynHBFOsM&list=PLUaB-1hjhk8H48Pj32z4GZgGWyylqv85f
Don't forget to comment on this videoπβ
β Follow @codingdidi
https://www.instagram.com/reel/C6QN86Crvtv/?igsh=MTBpcXYxa2xjdHhpcw==
Here are the links!
1. SQL Data Analytics Project
https://www.youtube.com/watch?v=GHtX0QXfi6g&t=1664s
2. Data Analyst Portfolio Project - SQL
https://www.youtube.com/watch?v=0rB_memC-dA
3. Data Analyst Portfolio Project Complete Playlist
https://www.youtube.com/watch?v=qfyynHBFOsM&list=PLUaB-1hjhk8H48Pj32z4GZgGWyylqv85f
Don't forget to comment on this videoπβ
β Follow @codingdidi
π4
Explore the List of 30 libraries used by data scientists.
https://www.linkedin.com/posts/akansha-yadav24_python-libraries-for-data-science-activity-7189858305530380289-x_2w?utm_source=share&utm_medium=member_android
Follow @Codingdidiβ
https://www.linkedin.com/posts/akansha-yadav24_python-libraries-for-data-science-activity-7189858305530380289-x_2w?utm_source=share&utm_medium=member_android
Follow @Codingdidiβ
Linkedin
Akansha Yadav on LinkedIn: Python libraries for Data science
Level up your Data Science Toolkit!
Feeling overwhelmed by the vast landscape of Python libraries for data science?
You're not alone! But fret no more, becauseβ¦
Feeling overwhelmed by the vast landscape of Python libraries for data science?
You're not alone! But fret no more, becauseβ¦
Here's the link of FREE DATA SCIENCE INTRODUCTORY COURSE.
LINK :- https://skillsforall.com/course/introduction-data-science?courseLang=en-US
https://www.instagram.com/reel/C6RE_pxSwrg/?igsh=MXB0bXBxYjF6M2ZxOQ==
β Follow @codingdidi
LINK :- https://skillsforall.com/course/introduction-data-science?courseLang=en-US
https://www.instagram.com/reel/C6RE_pxSwrg/?igsh=MXB0bXBxYjF6M2ZxOQ==
β Follow @codingdidi
Netacad
Introduction to Data Science
Free online course to learn about Data Science - from Cisco Networking Academy. Sign up today!
π2
Hi, All
Pandas day-3 video is live!!
Go check it out.
English video link:-
https://youtu.be/EbKzSqmS-Hg?si=qQhX8cFbrC-io7Wx
Hindi video link:-
https://youtu.be/F3niR44_L38?si=09M4Oc-iuFloexTy
Don't forget to like, share and comment on videos.
I'm waiting for your comments.
Follow @codingdidi
Pandas day-3 video is live!!
Go check it out.
English video link:-
https://youtu.be/EbKzSqmS-Hg?si=qQhX8cFbrC-io7Wx
Hindi video link:-
https://youtu.be/F3niR44_L38?si=09M4Oc-iuFloexTy
Don't forget to like, share and comment on videos.
I'm waiting for your comments.
Follow @codingdidi
YouTube
Day-3 Data Mastery: Learn to Create pandas Data Frame (Easy Tutorial!)
Tired of spreadsheets holding you back? Conquer data like a pro with pandas! This video is your ultimate guide to building awesome DataFrames and mastering Pandas Series.
πͺGithub repo link: https://github.com/Akansha-yadav24/Learn-python-pandas-in-2024β¦
πͺGithub repo link: https://github.com/Akansha-yadav24/Learn-python-pandas-in-2024β¦
βοΈ The PyTorch team is developing a library for learning LLM called torch titan.
Today the library has become publicly available on GitHub, but it is still in a pre-release state and is actively being developed.
- Library link: https://github.com/pytorch/torchtitan
The library was created for preliminary training of models, and for fine tuning PyTorch has another library, torchtune:
https://github.com/pytorch/torchtune
β https://t.me/Codingdidi
Today the library has become publicly available on GitHub, but it is still in a pre-release state and is actively being developed.
- Library link: https://github.com/pytorch/torchtitan
The library was created for preliminary training of models, and for fine tuning PyTorch has another library, torchtune:
https://github.com/pytorch/torchtune
β https://t.me/Codingdidi
GitHub
GitHub - pytorch/torchtitan: A PyTorch native platform for training generative AI models
A PyTorch native platform for training generative AI models - pytorch/torchtitan
TOP 10 SQL Concepts for Job Interview.
Don't forget to revise these concepts to clear the interview.
1. Aggregate Functions (SUM/AVG)
2. Group By and Order By
3. JOINs (Inner/Left/Right)
4. Union and Union All
5. Date and Time processing
6. String processing
7. Window Functions (Partition by)
8. Subquery
9. View and Index
10. Common Table Expression (CTE)
Like this post if you need more πβ€οΈ
Hope it helps :)
Don't forget to revise these concepts to clear the interview.
1. Aggregate Functions (SUM/AVG)
2. Group By and Order By
3. JOINs (Inner/Left/Right)
4. Union and Union All
5. Date and Time processing
6. String processing
7. Window Functions (Partition by)
8. Subquery
9. View and Index
10. Common Table Expression (CTE)
Like this post if you need more πβ€οΈ
Hope it helps :)
π7
5 Unique Power BI projects for Resumeβ
πWebsite Traffic Analysis
πhttps://www.phdata.io/blog/web-traffic-power-bi-dashboard-example/
πWeather Forecasting Analysis
πhttps://www.novypro.com/project/vstrix1303--github
πEmployee Performance Analysis
πhttps://github.com/Krishnkumar542/INX-Future-Inc-Employee-Performance-Analysis-using-Power-BI
πSales Data Visualization and Analysis
πhttps://github.com/yashsdoshi/Sales_report_using_PowerBi
π E-commerce website customer-purchasing Capability Analysis
πhttps://github.com/meysamraz/digikala-e-commerce-website-customer-purchase-dashboard
Follow @codingdidi β
Instagram https://www.instagram.com/codingdidi/
Youtube https://youtube.com/@codingdidi?si=TkcPMdGsgV8z61lh
www.linkedin.com/in/akansha-yadav24
phData
Web Traffic Power BI Dashboard Example
Leverage this Power BI dashboard to get better insights into which web pages, referral sites, and countries are contributing the most to your web traffic.
π1