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

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

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

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

These links will definitely help you get jobs

Any one who is AI EXPERT here?

Who knows python, nlp, transformer models or LLM?

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

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All the best 👍👍

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

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All the best 👍👍

NuvoRetail is hiring Data Analytics Intern 🚀

Freshers are eligible ✅
Location : Delhi
Skills : Python , SQL
Stipend : 15-20k Per month

Apply link : Check out this job at NuvoRetail: https://www.linkedin.com/jobs/view/4109180821

https://www.instagram.com/reel/DEE-dvThSSV/?igsh=MWRqbTg3NHp2ejNqNg==


FREE DSA courses!
DSA roadmap
15 DSA patterns you must learn!

Apache Spark Question bank!!

👉🏻 DO REACT IF YOU WANT MORE CONTENT LIKE THIS FOR FREE 🆓

Mastering SQL: Key Interview Questions

Get ready to excel in your SQL interviews with this complete guide of the most common SQL interview questions for all levels. Whether you're just starting and need to understand the basics, you're an intermediate professional tackling more complicated queries, or you're an expert looking to show off your advanced skills, this guide has everything you need. It covers everything from simple SQL commands to complex techniques for optimizing queries and designing databases. Mastering these questions will boost your chances of success and make you stand out in any interview.

6 Month Technical placement Roadmap

https://topmate.io/codingdidi/1365458

Here are more resources!!
Data Analysis Basics

Resource: "Data Science for Business" by Foster Provost and Tom Fawcett
SQL and Database Management

Resource: Codecademy’s SQL Course
Data Visualization

Resource: Tableau Public & Power BI tutorials
Statistical Analysis

Resource: Khan Academy Statistics Course
Excel for Data Analysis

Resource: Excel Jet – Excel Tips & Tutorials
Python for Data Analysis

Resource: "Python for Data Analysis" by Wes McKinney
Data Cleaning & Preprocessing

Resource: Kaggle’s Data Cleaning Courses
Machine Learning Basics

Resource: Coursera's "Introduction to Machine Learning" by Andrew Ng
Big Data Tools

Resource: Hadoop and Spark tutorials on edX
Business Intelligence

Resource: "The Big Book of Dashboards" by Steve Wexler

Essential Python and SQL topics for data analysts 😄👇

Python Topics:

Python Resources - @w3schools or @geeksforgeeks

1. Data Structures
   - Lists, Tuples, and Dictionaries
   - NumPy Arrays for numerical data

2. Data Manipulation
   - Pandas DataFrames for structured data
   - Data Cleaning and Preprocessing techniques
   - Data Transformation and Reshaping

3. Data Visualization
   - Matplotlib for basic plotting
   - Seaborn for statistical visualizations
   - Plotly for interactive charts

4. Statistical Analysis
   - Descriptive Statistics
   - Hypothesis Testing
   - Regression Analysis

5. Machine Learning
   - Scikit-Learn for machine learning models
   - Model Building, Training, and Evaluation
   - Feature Engineering and Selection

6. Time Series Analysis
   - Handling Time Series Data
   - Time Series Forecasting
   - Anomaly Detection

7. Python Fundamentals
   - Control Flow (if statements, loops)
   - Functions and Modular Code
   - Exception Handling
   - File

SQL Topics:

SQL Resources - @sqltutorials

1. SQL Basics
- SQL Syntax
- SELECT Queries
- Filters

2. Data Retrieval
- Aggregation Functions (SUM, AVG, COUNT)
- GROUP BY

3. Data Filtering
- WHERE Clause
- ORDER BY

4. Data Joins
- JOIN Operations
- Subqueries

5. Advanced SQL
- Window Functions
- Indexing
- Performance Optimization

6. Database Management
- Connecting to Databases
- SQLAlchemy

7. Database Design
- Data Types
- Normalization

Remember, it's highly likely that you won't know all these concepts from the start. Data analysis is a journey where the more you learn, the more you grow. Embrace the learning process, and your skills will continually evolve and expand. Keep up the great work!

👉🏻 DO REACT IF YOU WANT MORE CONTENT LIKE THIS FOR FREE 🆓

🔉 Hiring Data Analyst (0-1 Years Experience) 🚀
Ankit is hiring for a junior data analytics role.

The candidate should be able to write complex SQL queries and should be well-versed in Excel. Having experience building Power BI dashboards will be an added advantage.

The candidate will be employed by a third party and will work for Bajaj Finance in Viman Nagar, Pune.

Please share your resume at ankit.hirani@bajajfinserv.in
if you meet the above criteria

DAX Functions

What's the most significant achievement you accomplished in 2024, and what's the target for 2025?

📊 Master DAX Functions for Power BI Excellence!

🔹What is DAX?
DAX (Data Analysis Expressions) is a powerful formula language used in Power BI, Excel, and Analysis Services to create custom calculations and insights.

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🛠Essential DAX Functions You Should Know:

1️⃣ SUM:
SUM(column_name)
- Adds up all the values in a column. Perfect for total sales or revenue calculations!

2️⃣ AVERAGE:
AVERAGE(column_name)
- Calculates the average value in a column. Great for tracking performance metrics.

3️⃣ CALCULATE:
CALCULATE(expression, filter)
- Evaluates an expression with specified filters. Ideal for custom metrics!

4️⃣IF:
IF(condition, result_if_true, result_if_false)
- Implements conditional logic in your measures or calculated columns.

5️⃣ RELATED:
RELATED(column_name)
- Pulls data from related tables. Useful for combining information in your models.

6️⃣ ALL:
ALL(column_name)
- Ignores filters to return all rows from a column. Great for creating ratios or percentages.

7️⃣ FILTER:
FILTER(table, condition)
- Returns a filtered table based on the given condition. Handy for advanced analysis.

8️⃣ RANKX:
RANKX(table, expression, [value], [order], [ties])
- Ranks items based on a specific measure or column. Use for leaderboards or comparisons.

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💡Why Learn DAX?
✅ Unlock deeper insights in Power BI.
✅ Automate complex calculations.
✅ Build interactive and dynamic dashboards.
✅ Gain a competitive edge in analytics!

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🧠 Pro Tip: Start with simple functions like SUM and IF, then explore advanced ones like CALCULATE and RANKX for greater control over your data models.

🔗 Join our Telegram channel for FREE resources and stay updated with the latest analytics tips! 🚀

Company Name: Sportskeeda

Role: Data Intern

Qualification: Any Graduate

Salary: Upto 5 LPA

Apply Link: https://sportskeeda.zohorecruit.in/jobs/Careers/59509000032505325/Data-Intern?source=CareerSite

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All the best 👍👍