Barclays is hiring Analyst!
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Experience: Freshers/ Experienced
Location: Delhi/ Noida/ Pune/ Chennai

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https://search.jobs.barclays/job/-/-/13015/65849953488?src=JB-12860



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✓ 48 LIVE SESSION
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WhatsApp at
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Learn about how computers analyse your writing style.


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Open source ML production GitHub repo.

ML production
https://github.com/EthicalML/awesome-production-machine-learning



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Here's the link for 100 SQL questions

https://drive.google.com/file/d/1AV4P3et-c_1EBiU_AN8lHklK4m60ZL7w/view?usp=sharing

Learn to scrape data using python


https://youtu.be/VFsAa74Y_ok?si=SMLizTIA0Tr_2mVX

Link for TensorFlow pdf.

https://www.instagram.com/reel/C78WuK2S-HB/?igsh=NDZ5MnAzb3BidGJ4

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Here's the link for ML handwritten note.


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COMC is hiring for Data Analyst

Salary Range
$80,000.00 - $100,000.00

Apply Link: https://www.paycomonline.net/v4/ats/web.php/jobs/ViewJobDetails?job=100986&clientkey=DB4B2E90705AD5F0635FBD274EAB4268

Job Qualifications

Bachelor’s degree in Computer Science, Information Systems, Statistics, or a related field.
2+ years of experience in data analysis.
Proficient in SQL for data querying and manipulation.
Experience with Power BI or similar data visualization tools.
Understanding of data warehousing and database structures.
Basic knowledge of statistical analysis and data modeling.
Excellent analytical and problem-solving skills.
Ability to communicate complex data insights in a clear and concise manner.

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BCG is hiring for the role of Data Analyst.

Experince - 2 to 4 Years
Location - Bengaluru, Gurgaon


Apply Now : https://unstop.com/o/RYPqncH?lb=8eEx09ow&utm_medium=Share&utm_source=shortUrl

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Sharpsell.ai is hiring Business Analyst interns with 0-2 years of experience with a background of Computer Science/Information Systems/ Data Analytics, or a related field.

Candidates with knowledge of SQL and experience writing queries, familiar with BI tools such as Tableau/Power BI, or similar dashboarding platforms are preferred for the role.

This role is for Bangalore location, and three days working from office. Interested candidates please share your CVs with priyadarshini.r@sharpsell.ai

That's all you need for a data analyst role and this is the kick starter for the data science role.

Begin and invest for your future.

Grad your seats Today!! 😍😍

👌 Waiting to see you all in the session. ✅

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Here's the 🔗 Link:-

https://drive.google.com/file/d/1chHIxSL28TQbvWAaBFdaJ2KseV82p7iR/view?usp=sharing

Company: Sanofi!
Position: Trainee Data Analyst
Experience: Freshers (0 - 1 Years)
Location: Hyderabad, India

https://sanofi.wd3.myworkdayjobs.com/SanofiCareers/job/Hyderabad/Trainee-Data-Analyst_R2748187

Company: HSBC!
Position: Business Analyst - Accounts
Qualifications: Bachelor’s/ Master’s Degree
Salary: 7 - 12 LPA (Expected)
Experience: Freshers/ Experienced
Location: Work From Home/ Office

https://mycareer.hsbc.com/en_GB/external/PipelineDetail/Business-Analyst-Accounts-SSI-s/217665

Adobe is hiring!
Position: Data Science Engineer
Qualifications: Bachelor’s/ Master’s or PhD Degree
Salary: 8 - 23 LPA (Expected)
Experience: Freshers/ Experienced
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Amazon is hiring!
Position: Data Analyst/ Business Analytics
Qualifications: Bachelor’s/ Master’s Degree
Salary: 5 - 8 LPA (Expected)
Experience: Freshers/ Experienced
Location: Bangalore/ Hyderabad

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https://www.amazon.jobs/en/jobs/2574412/business-analyst-i-lat-mile-analytics-and-quality-lmaq?

Gentle reminder 🎗️
"I've seen a great response from you guys and it truly means a lot 🙌🏻 💯 because of your support and efforts, the maximum
number of seats are filled 💺✅. *I want to inform all of you that the course enrollment will be closed on 20th June 2024 ⚠️⚠️. So, if you're still interested in enrolling in this course please update before 20th June* ☺️⭐
Thank you!!
Regards
Codingdidi

Amazon Interview Process for Data Scientist position

📍Round 1- Phone Screen round
This was a preliminary round to check my capability, projects to coding, Stats, ML, etc.

After clearing this round the technical Interview rounds started. There were 5-6 rounds (Multiple rounds in one day).

📍 𝗥𝗼𝘂𝗻𝗱 𝟮- 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 𝗕𝗿𝗲𝗮𝗱𝘁𝗵:
In this round the interviewer tested my knowledge on different kinds of topics.

📍𝗥𝗼𝘂𝗻𝗱 𝟯- 𝗗𝗲𝗽𝘁𝗵 𝗥𝗼𝘂𝗻𝗱:
In this round the interviewers grilled deeper into 1-2 topics. I was asked questions around:
Standard ML tech, Linear Equation, Techniques, etc.

📍𝗥𝗼𝘂𝗻𝗱 𝟰- 𝗖𝗼𝗱𝗶𝗻𝗴 𝗥𝗼𝘂𝗻𝗱-
This was a Python coding round, which I cleared successfully.

📍𝗥𝗼𝘂𝗻𝗱 𝟱- This was 𝗛𝗶𝗿𝗶𝗻𝗴 𝗠𝗮𝗻𝗮𝗴𝗲𝗿 where my fitment for the team got assessed.

📍𝗟𝗮𝘀𝘁 𝗥𝗼𝘂𝗻𝗱- 𝗕𝗮𝗿 𝗥𝗮𝗶𝘀𝗲𝗿- Very important round, I was asked heavily around Leadership principles & Employee dignity questions.

So, here are my Tips if you’re targeting any Data Science role:
-> Never make up stuff & don’t lie in your Resume.
-> Projects thoroughly study.
-> Practice SQL, DSA, Coding problem on Leetcode/Hackerank.
-> Download data from Kaggle & build EDA (Data manipulation questions are asked)


Resources: https://topmate.io/codingdidi/digital_products

ENJOY LEARNING 👍👍

Free SQL COURSES!!

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Basic- course

1. Introduction to SQL

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Advanced- Course

5.Advanced-tsql-querying-using-sql-2014

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6. Sql-for-real-world-data-analysis

https://www.udemy.com/course/sql-for-real-world-data-analysis/

7. advanced-sql( text based)

https://www.kaggle.com/learn/advanced-sql


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𝐒𝐭𝐫𝐢𝐧𝐠 𝐌𝐚𝐧𝐢𝐩𝐮𝐥𝐚𝐭𝐢𝐨𝐧 𝐢𝐧 𝐏𝐲𝐭𝐡𝐨𝐧:
Strings in Python are immutable sequences of characters.

𝟏- 𝐥𝐞𝐧(): 𝐑𝐞𝐭𝐮𝐫𝐧𝐬 𝐭𝐡𝐞 𝐥𝐞𝐧𝐠𝐭𝐡 𝐨𝐟 𝐭𝐡𝐞 𝐬𝐭𝐫𝐢𝐧𝐠.

my_string = "Hello"
length = len(my_string)  # length will be 5

𝟐- 𝐬𝐭𝐫(): 𝐂𝐨𝐧𝐯𝐞𝐫𝐭𝐬 𝐧𝐨𝐧-𝐬𝐭𝐫𝐢𝐧𝐠 𝐝𝐚𝐭𝐚 𝐭𝐲𝐩𝐞𝐬 𝐢𝐧𝐭𝐨 𝐬𝐭𝐫𝐢𝐧𝐠𝐬.

num = 123
str_num = str(num)  # str_num will be "123"

𝟑- 𝐥𝐨𝐰𝐞𝐫() 𝐚𝐧𝐝 𝐮𝐩𝐩𝐞𝐫(): 𝐂𝐨𝐧𝐯𝐞𝐫𝐭 𝐚 𝐬𝐭𝐫𝐢𝐧𝐠 𝐭𝐨 𝐥𝐨𝐰𝐞𝐫𝐜𝐚𝐬𝐞 𝐨𝐫 𝐮𝐩𝐩𝐞𝐫𝐜𝐚𝐬𝐞.

my_string = "Hello"
lower_case = my_string.lower()  # lower_case will be "hello"
upper_case = my_string.upper()  # upper_case will be "HELLO"

𝟒- 𝐬𝐭𝐫𝐢𝐩(): 𝐑𝐞𝐦𝐨𝐯𝐞𝐬 𝐥𝐞𝐚𝐝𝐢𝐧𝐠 𝐚𝐧𝐝 𝐭𝐫𝐚𝐢𝐥𝐢𝐧𝐠 𝐰𝐡𝐢𝐭𝐞𝐬𝐩𝐚𝐜𝐞 𝐟𝐫𝐨𝐦 𝐚 𝐬𝐭𝐫𝐢𝐧𝐠.

my_string = "   Hello   "
stripped_string = my_string.strip()  # stripped_string will be "Hello"

𝟓- 𝐬𝐩𝐥𝐢𝐭(): 𝐒𝐩𝐥𝐢𝐭𝐬 𝐚 𝐬𝐭𝐫𝐢𝐧𝐠 𝐢𝐧𝐭𝐨 𝐚 𝐥𝐢𝐬𝐭 𝐨𝐟 𝐬𝐮𝐛𝐬𝐭𝐫𝐢𝐧𝐠𝐬 𝐛𝐚𝐬𝐞𝐝 𝐨𝐧 𝐚 𝐝𝐞𝐥𝐢𝐦𝐢𝐭𝐞𝐫.

my_string = "apple,banana,orange"
fruits = my_string.split(",")  # fruits will be ["apple", "banana", "orange"]

𝟔- 𝐣𝐨𝐢𝐧(): 𝐉𝐨𝐢𝐧𝐬 𝐭𝐡𝐞 𝐞𝐥𝐞𝐦𝐞𝐧𝐭𝐬 𝐨𝐟 𝐚 𝐥𝐢𝐬𝐭 𝐢𝐧𝐭𝐨 𝐚 𝐬𝐢𝐧𝐠𝐥𝐞 𝐬𝐭𝐫𝐢𝐧𝐠 𝐮𝐬𝐢𝐧𝐠 𝐚 𝐬𝐩𝐞𝐜𝐢𝐟𝐢𝐞𝐝 𝐬𝐞𝐩𝐚𝐫𝐚𝐭𝐨𝐫.

fruits = ["apple", "banana", "orange"]
my_string = ",".join(fruits)  # my_string will be "apple,banana,orange"

𝟕- 𝐟𝐢𝐧𝐝() 𝐚𝐧𝐝 𝐢𝐧𝐝𝐞𝐱(): 𝐒𝐞𝐚𝐫𝐜𝐡 𝐟𝐨𝐫 𝐚 𝐬𝐮𝐛𝐬𝐭𝐫𝐢𝐧𝐠 𝐰𝐢𝐭𝐡𝐢𝐧 𝐚 𝐬𝐭𝐫𝐢𝐧𝐠 𝐚𝐧𝐝 𝐫𝐞𝐭𝐮𝐫𝐧 𝐢𝐭𝐬 𝐢𝐧𝐝𝐞𝐱.

my_string = "Hello, world!"
index1 = my_string.find("world")  # index1 will be 7
index2 = my_string.index("world")  # index2 will also be 7

𝟖- 𝐫𝐞𝐩𝐥𝐚𝐜𝐞(): 𝐑𝐞𝐩𝐥𝐚𝐜𝐞𝐬 𝐨𝐜𝐜𝐮𝐫𝐫𝐞𝐧𝐜𝐞𝐬 𝐨𝐟 𝐚 𝐬𝐮𝐛𝐬𝐭𝐫𝐢𝐧𝐠 𝐰𝐢𝐭𝐡 𝐚𝐧𝐨𝐭𝐡𝐞𝐫 𝐬𝐮𝐛𝐬𝐭𝐫𝐢𝐧𝐠.

my_string = "Hello, world!"
new_string = my_string.replace("world", "Python")  # new_string will be "Hello, Python!"

𝟗- 𝐬𝐭𝐚𝐫𝐭𝐬𝐰𝐢𝐭𝐡() 𝐚𝐧𝐝 𝐞𝐧𝐝𝐬𝐰𝐢𝐭𝐡(): 𝐂𝐡𝐞𝐜𝐤𝐬 𝐢𝐟 𝐚 𝐬𝐭𝐫𝐢𝐧𝐠 𝐬𝐭𝐚𝐫𝐭𝐬 𝐨𝐫 𝐞𝐧𝐝𝐬 𝐰𝐢𝐭𝐡 𝐚 𝐬𝐩𝐞𝐜𝐢𝐟𝐢𝐞𝐝 𝐬𝐮𝐛𝐬𝐭𝐫𝐢𝐧𝐠.

my_string = "Hello, world!"
starts_with_hello = my_string.startswith("Hello")  # True
ends_with_world = my_string.endswith("world")  # False

𝟏𝟎- 𝐜𝐨𝐮𝐧𝐭(): 𝐂𝐨𝐮𝐧𝐭𝐬 𝐭𝐡𝐞 𝐨𝐜𝐜𝐮𝐫𝐫𝐞𝐧𝐜𝐞𝐬 𝐨𝐟 𝐚 𝐬𝐮𝐛𝐬𝐭𝐫𝐢𝐧𝐠 𝐢𝐧 𝐚 𝐬𝐭𝐫𝐢𝐧𝐠.

my_string = "apple, banana, orange, banana"
count = my_string.count("banana")  # count will be 2

Python pandas Complete
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