@Codingdidi
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Free learning Resources For Data Analysts, Data science, ML, AI, GEN AI and Job updates, career growth, Tech updates
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Hi all here's the roadmap for learning pandas in 2024 for data analyst and data scientist role.


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Marsh McLennan Off Campus Hiring Fresher For Analyst
Location : Pune
Qualification : B.E/B.Tech/M.E/M.Tech/MCA
Work Experience : Fresher - 1 year
CTC : 4 - 5 LPA

Apply Link : https://careers.marshmclennan.com/global/en/job/R_266528/Analyst-Implementation-Services


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Hi, all


Here's how you can learn pandas for data analysis for free using the video tutorials.



English:- https://youtube.com/playlist?list=PLEt4gT_dNBREyKgqdj0o-W5FHXHPOPu6m&si=3HD68egMdtE412tU


Hindi
https://youtube.com/playlist?list=PL94h_jWyE-kBtP40nxsYnXNTEu8pjKQZX&si=IiDfPDChtYAxT8sd


Don't forget to add your views in the comment section.

๐ŸŽฏ Hit like, and subscribe button for more videos on yt.


Note:- This week I'm posting regular videos on YT about pandas.

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Here you go with pandas 1 min concepts(which I share on insta reel)


https://github.com/Akansha-yadav24/Pandas-1-min-concepts.git



๐ŸซตMore likes๐Ÿ˜ more posts and resources ๐Ÿ˜‡
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cult.fit Hiring Fresher For Business Analyst
Location: Bangalore
Qualification: Bachelor/Master Degree
Work Experience: Freshers
Salary: 7 - 10 LPA

Apply Link: https://careers.cult.fit/#!/job-view/business-analyst-bangalore-business-analysis-2023081811283322

for Daily job Updates join here: https://t.me/Codingdidi โœ…

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Google is hiring Data Scientist!
Qualification: Masterโ€™s degree or PhD
Salary: 11 - 29 LPA (Expected)
Batch: 2023/ 2024
Experienc๏ปฟe: Entry level
Location: Bangalore, India

๐Ÿ“ŒApply Now: https://www.google.com/about/careers/applications/jobs/results/82920494979785414-data-scientist-university-graduate-2024

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Complete Series to learn pandas!!


Utilities this weekend to learn pandas! ๐Ÿ˜‰

Day-1 introduction to pandas,series and dataframe.
English:-
https://youtu.be/lrEk0RcpPzc?si=XjJyuarbBnhRh3kB
Hindi
https://youtu.be/mNGnGyIP9nw?si=_5SWLgchpS859VoB


Day-2 creates a series like a pro
English:-
https://youtu.be/lWNogRvSbtQ?si=_cha64qIhtMW3T4_
Hindi:-
https://youtu.be/xSrb_Cds-ws?si=VKgu5gEejQYRQKwO

Day-3 Create dataframe using 1-D
English:-
https://youtu.be/EbKzSqmS-Hg?si=UBc-sXJicpt5hD4D
Hindi:-
https://youtu.be/F3niR44_L38?si=XDhd06efdqG45IvU



Day-4 learn to save your files locally.
English:-
https://youtu.be/UaoseR5HnUY?si=hfhO60u-yEcaPddX
Hindi:-
https://youtu.be/jQTKaqRjVos?si=0mA09eyAjO986E2U

Day-5 Learn to load and view data(part-1)
English:-
https://youtu.be/CrvY0QIURyg?si=GaFgKfBb4VDbZzdP
Hindi
https://youtu.be/4NTWYUeuSWM?si=MjnASuNvMxjlmH1h

Day-6 methods to view your data(part-2)
English:-
https://youtu.be/DYSAc3Pmzwo?si=QzSS9k3SqLJ0r0hh
Hindi
https://youtu.be/r9H6ybaLWv4?si=q4Aazze7ihWKNnPF

Day-7 regex function and reset indexing
English:-
https://youtu.be/QXHKe30bFdY?si=K1PndEcX1bH0GYIC
Hindi:-
https://youtu.be/IN-B40L5m_A?si=dkQr-V_-Qw8-Qftq


Day-8 indexing vs Selection, how to do indexing.
English:- https://youtu.be/8phiNzcCs7A?si=CABGo9KUMw8wPYB5
Hindi
https://youtu.be/HxfEWNidVd0?si=SuYo6bu3-ZpnNpv0

More to come your way! ๐Ÿ˜„

GITHUB REPO LINK:- https://github.com/Akansha-yadav24/Learn-python-pandas-in-2024


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Coming live tomorrow on yt channel at 9:00pm IST ๐Ÿ˜€ for your general queries!!
How? When? Where? What?
Are you guys excited ๐Ÿ˜Š?
Anonymous Poll
87%
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13%
No ๐Ÿ˜ž
Referral message template ๐Ÿ‘‡

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Hi [Name],

I hope this message finds you well. I am writing to ask if you would be willing to refer me for a job in your company. I recently came across a job opening that I believe suits my skills and experience, and I would be very grateful if you could provide a positive referral on my behalf.
I have attached my resume for your reference so you can get an idea of my qualifications. I would really appreciate any help you can provide.

Thank you for your time.

Sincerely,
[Your Name]
โค5
Looking for candidates for the role of AI/ML Developer (Computer Vision). If interested or you know someone who is a good fit. Please mail your resume at rohan.kaveri@conmove.io

Job Description: AI/ML Developer (Computer Vision)

Position: AI/ML Developer (Computer Vision)

Location: Viman Nagar,Pune

Job Type: Full-time

Responsibilities:

Collaborate with cross-functional teams to understand project requirements and objectives.
Develop and implement computer vision algorithms for object detection and recognition.
Train and fine-tune machine learning models using state-of-the-art techniques.
Evaluate model performance and iterate on improvements.
Utilize Python programming language and relevant libraries/frameworks (e.g., TensorFlow, PyTorch) for model development.

Requirements:

Bachelor's or Master's degree in Computer Science, Engineering, or related field.
Strong understanding of machine learning fundamentals and algorithms.
Proficiency in Python programming language.
Knowledge of computer vision concepts and techniques.
Experience with deep learning frameworks such as PyTorch.
Familiarity with object detection models (e.g., YOLO)
Ability to work collaboratively in a team environment.
Excellent problem-solving and analytical skills.
Experience with PowerBI or other BI tools is a plus, but not required.
๐Ÿ‘3
@Codingdidi pinned ยซComplete Series to learn pandas!! Utilities this weekend to learn pandas! ๐Ÿ˜‰ Day-1 introduction to pandas,series and dataframe. English:- https://youtu.be/lrEk0RcpPzc?si=XjJyuarbBnhRh3kB Hindi https://youtu.be/mNGnGyIP9nw?si=_5SWLgchpS859VoB Day-2 createsโ€ฆยป
Coming live in 20 min for your queries.!

Link is here
https://youtube.com/@codingdidi-hindi?si=5w6wfM2i_mel2cfp

Let's chat at 9:00pm
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50 ๐จ๐Ÿ ๐ญ๐ก๐ž ๐ฆ๐จ๐ฌ๐ญ ๐ข๐ฆ๐ฉ๐จ๐ซ๐ญ๐š๐ง๐ญ ๐„๐ฑ๐œ๐ž๐ฅ ๐Ÿ๐จ๐ซ๐ฆ๐ฎ๐ฅ๐š๐ฌ ๐ญ๐ก๐š๐ญ ๐œ๐š๐ง ๐ก๐ž๐ฅ๐ฉ ๐ฒ๐จ๐ฎ ๐ฉ๐ž๐ซ๐Ÿ๐จ๐ซ๐ฆ ๐ฏ๐š๐ซ๐ข๐จ๐ฎ๐ฌ ๐ญ๐š๐ฌ๐ค๐ฌ ๐ž๐Ÿ๐Ÿ๐ข๐œ๐ข๐ž๐ง๐ญ๐ฅ๐ฒ.


S๐”๐Œ: Adds up numbers in a range.
๐€๐•๐„๐‘๐€๐†๐„: Calculates the average of numbers in a range.
๐Œ๐€๐—: Returns the largest number in a range.
๐Œ๐ˆ๐: Returns the smallest number in a range.
๐‚๐Ž๐”๐๐“: Counts the number of cells that contain numbers in a range.
๐‚๐Ž๐”๐๐“๐€: Counts the number of non-empty cells in a range.
๐ˆ๐…: Checks if a condition is met and returns one value if true and another value if false.
๐•๐‹๐Ž๐Ž๐Š๐”๐: Searches for a value in the first column of a table and returns a value in the same row from another column.
๐‡๐‹๐Ž๐Ž๐Š๐”๐: Similar to VLOOKUP, but searches for a value in the first row of a table.
๐ˆ๐๐ƒ๐„๐—: Returns the value of a cell in a specific row and column of a range.
๐Œ๐€๐“๐‚๐‡: Returns the relative position of an item in a range.
๐‚๐Ž๐๐‚๐€๐“๐„๐๐€๐“๐„: Joins two or more text strings into one string.
๐‹๐„๐…๐“: Returns the leftmost characters from a text string.
๐‘๐ˆ๐†๐‡๐“: Returns the rightmost characters from a text string.
๐‹๐„๐: Returns the number of characters in a text string.
๐“๐‘๐ˆ๐Œ: Removes leading and trailing spaces from a text string.
๐”๐๐๐„๐‘: Converts text to uppercase.
๐‹๐Ž๐–๐„๐‘: Converts text to lowercase.
๐๐‘๐Ž๐๐„๐‘: Capitalizes the first letter of each word in a text string.
๐“๐„๐—๐“: Formats a number or date value as text using a specified format.
๐ƒ๐€๐“๐„: Returns the serial number of a particular date.
๐“๐Ž๐ƒ๐€๐˜: Returns the current date.
๐๐Ž๐–: Returns the current date and time.
๐ƒ๐€๐“๐„๐ƒ๐ˆ๐…: Calculates the difference between two dates in years, months, or days.
๐„๐Ž๐Œ๐Ž๐๐“๐‡: Returns the last day of the month, n months before or after a given date.
๐‘๐Ž๐”๐๐ƒ: Rounds a number to a specified number of digits.
๐‘๐Ž๐”๐๐ƒ๐”๐: Rounds a number up, away from zero, to the nearest multiple of significance.
๐‘๐Ž๐”๐๐ƒ๐ƒ๐Ž๐–๐: Rounds a number down, toward zero, to the nearest multiple of significance.
๐ˆ๐…๐„๐‘๐‘๐Ž๐‘: Returns a value you specify if a formula evaluates to an error, otherwise returns the result of the formula.
๐’๐”๐Œ๐ˆ๐…: Adds the cells specified by a given condition or criteria.
๐’๐”๐Œ๐ˆ๐…๐’: Adds the cells in a range that meet multiple criteria.
๐€๐•๐„๐‘๐€๐†๐„๐ˆ๐…: Calculates the average of cells specified by a given condition or criteria.
๐€๐•๐„๐‘๐€๐†๐„๐ˆ๐…๐’: Calculates the average of cells that meet multiple criteria.
๐‚๐Ž๐”๐๐“๐ˆ๐…: Counts the number of cells specified by a given condition or criteria.
COUNTIFS: Counts the number of cells that meet multiple criteria.
RAND: Returns a random number between 0 and 1.
RANDBETWEEN: Returns a random number between the numbers you specify.
PI: Returns the value of pi (3.14159265358979).
POWER: Raises a number to a power.
SQRT: Returns the square root of a number.
LOG: Returns the logarithm of a number to the base you specify.
EXP: Returns e raised to the power of a given number.
MOD: Returns the remainder of a division operation.
INT: Rounds a number down to the nearest integer.
ABS: Returns the absolute value of a number.
AND: Returns TRUE if all its arguments are TRUE, and FALSE otherwise.
OR: Returns TRUE if any argument is TRUE, and FALSE otherwise.
NOT: Returns the opposite of a logical value.
SUMPRODUCT: Multiplies corresponding components in the given arrays, and returns the sum of those products.
TRANSPOSE: Transposes rows and columns in a range of cells.


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