Genpact is hiring!
Position: Business Analyst/ Data Analyst!
Qualification: Bachelor’s/ Master’s Degree
Salary: 5.9 - 8.6 LPA (Expected)
Experience: Freshers/ Experienced
Location: Bangalore/ Hyderabad/ Gurugram

📌Apply Now: https://genpact.taleo.net/careersection/sgy_external_career_section/jobdetail.ftl?job=COR029438

All the best 👍👍

How to Become a Data Analyst from Scratch! 🚀

Whether you're starting fresh or upskilling, here's your roadmap:

➜ Master Excel and SQL - solve SQL problems from leetcode & hackerank
➜ Get the hang of either Power BI or Tableau - do some hands-on projects
➜ learn what the heck ATS is and how to get around it
➜ learn to be ready for any interview question
➜ Build projects for a data portfolio
➜ And you don't need to do it all at once!
➜ Fail and learn to pick yourself up whenever required

Whether it's acing interviews or building an impressive portfolio, give yourself the space to learn, fail, and grow. Good things take time ✅

Like if it helps ❤️

I have curated best top-notch Data Analytics Resources 👇👇
https://topmate.io/codingdidi

Hope it helps :)

Resume key words for data scientist role explained in points:

1. Data Analysis:
- Proficient in extracting, cleaning, and analyzing data to derive insights.
- Skilled in using statistical methods and machine learning algorithms for data analysis.
- Experience with tools such as Python, R, or SQL for data manipulation and analysis.

2. Machine Learning:
- Strong understanding of machine learning techniques such as regression, classification, clustering, and neural networks.
- Experience in model development, evaluation, and deployment.
- Familiarity with libraries like TensorFlow, scikit-learn, or PyTorch for implementing machine learning models.

3. Data Visualization:
- Ability to present complex data in a clear and understandable manner through visualizations.
- Proficiency in tools like Matplotlib, Seaborn, or Tableau for creating insightful graphs and charts.
- Understanding of best practices in data visualization for effective communication of findings.

4. Big Data:
- Experience working with large datasets using technologies like Hadoop, Spark, or Apache Flink.
- Knowledge of distributed computing principles and tools for processing and analyzing big data.
- Ability to optimize algorithms and processes for scalability and performance.

5. Problem-Solving:
- Strong analytical and problem-solving skills to tackle complex data-related challenges.
- Ability to formulate hypotheses, design experiments, and iterate on solutions.
- Aptitude for identifying opportunities for leveraging data to drive business outcomes and decision-making.


Resume key words for a data analyst role

1. SQL (Structured Query Language):
- SQL is a programming language used for managing and querying relational databases.
- Data analysts often use SQL to extract, manipulate, and analyze data stored in databases, making it a fundamental skill for the role.

2. Python/R:
- Python and R are popular programming languages used for data analysis and statistical computing.
- Proficiency in Python or R allows data analysts to perform various tasks such as data cleaning, modeling, visualization, and machine learning.

3. Data Visualization:
- Data visualization involves presenting data in graphical or visual formats to communicate insights effectively.
- Data analysts use tools like Tableau, Power BI, or Python libraries like Matplotlib and Seaborn to create visualizations that help stakeholders understand complex data patterns and trends.

4. Statistical Analysis:
- Statistical analysis involves applying statistical methods to analyze and interpret data.
- Data analysts use statistical techniques to uncover relationships, trends, and patterns in data, providing valuable insights for decision-making.

5. Data-driven Decision Making:
- Data-driven decision making is the process of making decisions based on data analysis and evidence rather than intuition or gut feelings.
- Data analysts play a crucial role in helping organizations make informed decisions by analyzing data and providing actionable insights that drive business strategies and operations.

Data Science Interview Resources
👇👇
https://topmate.io/codingdidi

Like for more 😄

Citi is hiring Analyst
Experience: Freshers
https://jobs.citi.com/job/-/-/287/68234635200


Like for more such updates ❤️

✅𝟓-𝐒𝐭𝐞𝐩 𝐑𝐨𝐚𝐝𝐦𝐚𝐩 𝐭𝐨 𝐒𝐰𝐢𝐭𝐜𝐡 𝐢𝐧𝐭𝐨 𝐭𝐡𝐞 𝐃𝐚𝐭𝐚 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 𝐅𝐢𝐞𝐥𝐝✅

💁‍♀️𝐁𝐮𝐢𝐥𝐝 𝐊𝐞𝐲 𝐒𝐤𝐢𝐥𝐥𝐬: Focus on core skills—Excel, SQL, Power BI, and Python.

💁‍♀️𝐇𝐚𝐧𝐝𝐬-𝐎𝐧 𝐏𝐫𝐨𝐣𝐞𝐜𝐭𝐬: Apply your skills to real-world data sets. Projects like sales analysis or customer segmentation show your practical experience. You can find projects on Youtube.

💁‍♀️𝐅𝐢𝐧𝐝 𝐚 𝐌𝐞𝐧𝐭𝐨𝐫: Connect with someone experienced in data analytics for guidance(like me 😅). They can provide valuable insights, feedback, and keep you on track.

💁‍♀️𝐂𝐫𝐞𝐚𝐭𝐞 𝐏𝐨𝐫𝐭𝐟𝐨𝐥𝐢𝐨: Compile your projects in a portfolio or on GitHub. A solid portfolio catches a recruiter’s eye.

💁‍♀️𝐏𝐫𝐚𝐜𝐭𝐢𝐜𝐞 𝐟𝐨𝐫 𝐈𝐧𝐭𝐞𝐫𝐯𝐢𝐞𝐰𝐬: Practice SQL queries and Python coding challenges on Hackerrank & LeetCode. Strengthening your problem-solving skills will prepare you for interviews.

NEW VIDEO UPLOADED

I hope it helps!!


https://youtu.be/-rY4i2lAOq0?si=GoDQMlV2f-MYslxq

https://youtu.be/CK5t_RCGon8?si=6Q3nGjjS8qF5WcA8


Let me know in the comments if you want more videos like this!! ❤️😍

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?

Morningstar is HIRING! Exciting Job Opportunities You Can't Miss!
https://youtu.be/xVlPDAxUOD0

https://youtu.be/Y5NnetwZOZM?si=TNTKnS5yVxIHsIy4

I hope this helps.

https://www.youtube.com/live/pZjJXEVP2VU?si=X-2ThWnfKt-s6ZhT

Join on time at 8pm IST.

https://youtu.be/f9hPD56VGQY?si=qgV_yihvahL0-7ST


✅😍Learn AI.

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.

hurry up.

It's just for the first 100 participants.

#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

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

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/

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