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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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9 056
𝐏𝐰𝐂 𝐈𝐧𝐭𝐞𝐫𝐧𝐬𝐡𝐢𝐩, 𝟐𝟎𝟐𝟓!
Position: Intern/ Trainee
Qualifications: Bachelor’s/ Master’s Degree
Salary: ₹48,309 Per Month (Expected)
Batch: 2024/ 2025/ 2026
Experience: Freshers
Location: Bangalore; Kolkata; Hyderabad, India
📌Apply Link: https://jobs-ta.pwc.com/global/en/job/PACPACGLOBAL574964WDEXTERNALENGLOBAL/Acceleration-Center-Advisory-Intern-2025
Like for more ❤️
All the best 👍👍
9 056
HSBC is hiring!
Position: Data Management/ Business Analyst
Qualification: Graduate Degree
Salary: 7 - 12 LPA (Expected)
Experience: Freshers/ Experienced
Location: Hyderabad, India
📌Apply Link: https://mycareer.hsbc.com/en_GB/external/PipelineDetail/Finance-Data-Management-Business-Analyst/253092?src=JB-257546
Like for more ❤️
All the best 👍👍
9 056
Abekus is hiring Data Analyst 🚀
Qualification : Bachelor's degree
Freshers are eligible ✅
Location : Remote
Apply link : Check out this job at Abekus: https://www.linkedin.com/jobs/view/4104079366
9 056
Jar is hiring Business Analyst 🚀
Experience : 1+ Year
Location : Bangalore
Apply link : https://www.instahyre.com/job-345335-business-analyst-at-jar-bangalore/?utm_source=linkedin&utm_medium=listing&utm_campaign=linkedin_apply&utm_content=345335
9 056
Unacademy is hiring Data Analyst Intern 🚀
Qualification : Bachelor's degree
Experience : Freshers / Experienced
Location : Bangalore
Apply link : Check out this job at Unacademy: https://www.linkedin.com/jobs/view/4103330312
9 056
LTIMindtree is hiring Data Analyst 🚀
Experience : Freshers / Experienced
Location : Pune , Bangalore , Mumbai
Apply link : Check out this job at LTIMindtree: https://www.linkedin.com/jobs/view/4104948373
9 056
EY is hiring Data Analyst 🚀
Qualification : Bachelor's / Master's degree
Experience : 0-1 Year
Location : Noida
Apply link : https://careers.ey.com/ey/job/Noida-Data-Analytics-Contractor-Staff-UP-201301/1144957201/
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Kiwi is Hiring: Analytics Intern!
Duration: 6 months
Eligibility: Students from Tier 1 colleges only
Key Responsibilities:
- Process large datasets for analysis and modeling
- Perform feature engineering for machine learning models
- Assist in model creation using statistical/ML approaches
- Optimize SQL queries for data retrieval
- Collaborate with teams to refine data pipelines
Required Skills:
- Proficiency in SQL for data manipulation
- Strong problem-solving and analytical skills
- Python exposure (preferred but not mandatory)
Perks:
- Hands-on experience in data analytics
- Work on impactful projects with experts
- Stipend provided
- Real-world problem-solving exposure
📩 Interested? Fill out the form: https://docs.google.com/forms/d/e/1FAIpQLScZwwa6uJH1m6J_2Nn9KIfRr37ftPJC7ypPza0UrLu1cVAVxw/viewform
9 056
#Accenture is hiring Associate !
Qualification : Any Graduate
Experience : 0-1 Year
Location : Mumbai
Apply link : https://www.accenture.com/in-en/careers/jobdetails?id=AIOC-S01538730_en
9 056
Want to become a master of Python and SQL? Get a free 30-day session, with regular 40-minute sessions via Zoom. Just send 'I wanna join' on WhatsApp to +91-9910986344, and be prepared to shell out a platform fee of Rs. 100. Don't worry, you'll get additional notes and free materials on Python and SQL to make it worth your while.
🙌🏻 Those who are serious about their career can ping me.
*This is just for first 100 participants.*
Sessions are starting tomorrow onwards.
Registrations are open up till midnight.
9 056
20 Must-Know Statistics Questions for Data Analyst and Business Analyst Role:
1️⃣ What is the difference between descriptive and inferential statistics?
2️⃣ Explain mean, median, and mode and when to use each.
3️⃣ What is standard deviation, and why is it important?
4️⃣ Define correlation vs. causation with examples.
5️⃣ What is a p-value, and how do you interpret it?
6️⃣ Explain the concept of confidence intervals.
7️⃣ What are outliers, and how can you handle them?
8️⃣ When would you use a t-test vs. a z-test?
9️⃣ What is the Central Limit Theorem (CLT), and why is it important?
🔟 Explain the difference between population and sample.
1️⃣1️⃣ What is regression analysis, and what are its key assumptions?
1️⃣2️⃣ How do you calculate probability, and why does it matter in analytics?
1️⃣3️⃣ Explain the concept of Bayes’ Theorem with a practical example.
1️⃣4️⃣ What is an ANOVA test, and when should it be used?
1️⃣5️⃣ Define skewness and kurtosis in a dataset.
1️⃣6️⃣ What is the difference between parametric and non-parametric tests?
1️⃣7️⃣ What are Type I and Type II errors in hypothesis testing?
1️⃣8️⃣ How do you handle missing data in a dataset?
1️⃣9️⃣ What is A/B testing, and how do you analyze the results?
2️⃣0️⃣ What is a Chi-square test, and when is it used?
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https://youtu.be/CK5t_RCGon8?si=6Q3nGjjS8qF5WcA8
Let me know in the comments if you want more videos like this!! ❤️😍
