𝐇𝐨𝐰 𝐭𝐨 𝐈𝐧𝐭𝐫𝐨𝐝𝐮𝐜𝐞 𝐘𝐨𝐮𝐫𝐬𝐞𝐥𝐟 𝐢𝐧 𝐚 𝐏𝐡𝐨𝐧𝐞 𝐈𝐧𝐭𝐞𝐫𝐯𝐢𝐞𝐰? [ Part-1]

𝐇𝐑: Hello, am I speaking with [Your Name]?

[Your Name]: Yes, this is [Your Name] speaking.

[Your Name]: May I know who is calling, please?

𝐇𝐑: Hi [Your Name], this is [HR's Name] from XYZ Company.

𝐇𝐑: I'm calling because you applied for the Data Analyst role at our company.

[Your Name]: Yes, that's correct. Thank you for reaching out.

𝐇𝐑: [Your Name], could you tell me a bit about yourself?

[Your Name]: Sure! I recently graduated with a bachelor's degree in [Your Degree] from [Your University]. During my studies, I developed a strong interest in data analytics, particularly in how data can drive decision-making and improve business outcomes.

In college, I took courses in statistics, data visualization, and programming, which gave me a solid foundation in data analytics concepts. I also completed an internship at [Internship Company], where I worked on [specific project or task], honing my skills in data analysis and gaining hands-on experience with tools like Excel, SQL, and Python.

Now, I'm eager to apply my knowledge and skills in a professional setting and contribute to XYZ Company's success. I'm particularly drawn to your company's innovative approach to [specific area related to the company's work] and believe that my background and enthusiasm for data analytics would make me a valuable addition to your team.

𝐇𝐑: That sounds great, [Your Name]! Thank you for sharing.

[Your Name]: Thank you for giving me the opportunity!


Like this post if you want me to continue this 👍❤️

Company: Gainwell Technologies!
Position: Data Analyst
Experience: Freshers/ Experienced

https://jobs.gainwelltechnologies.com/job/Bangalore-Data-Analyst-KA-560100/1150924900/

One day or Day one. You decide.

Data Science edition.

𝗢𝗻𝗲 𝗗𝗮𝘆 : I will learn SQL.
𝗗𝗮𝘆 𝗢𝗻𝗲: Download mySQL Workbench.

𝗢𝗻𝗲 𝗗𝗮𝘆: I will build my projects for my portfolio.
𝗗𝗮𝘆 𝗢𝗻𝗲: Look on Kaggle for a dataset to work on.

𝗢𝗻𝗲 𝗗𝗮𝘆: I will master statistics.
𝗗𝗮𝘆 𝗢𝗻𝗲: Start the free Khan Academy Statistics and Probability course.

𝗢𝗻𝗲 𝗗𝗮𝘆: I will learn to tell stories with data.
𝗗𝗮𝘆 𝗢𝗻𝗲: Install Tableau Public and create my first chart.

𝗢𝗻𝗲 𝗗𝗮𝘆: I will become a Data Scientist.
𝗗𝗮𝘆 𝗢𝗻𝗲: Update my resume and apply to some Data Science job postings.

Here's the good news for you all .!

I'm starting two series on my Instagram channel from Wednesday 24th July.

1. SQL - reel will be at 11:00 am
2. Statistics -- reel will be posted at 6:30 pm


I need your support to make it ✅😍 more engaging.

Another good news is
From coming weekend

✓ Starting a logic building series on yt
✓ Along with the tableau series.

Let me know what you think or if there's something you wanna add on.

Swiss Re is hiring!
Position: Data Analyst
Qualification: Bachelor’s/ Master’s Degree
Salary: 8 LPA (Expected)
Experience: Freshers/ Experienced
Location: Bangalore, India

📌Apply Now: https://careers.swissre.com/job/Bangalore-Data-Analyst-KA/1050003301/


Like for more ❤️

All the best 👍 👍

Below is a list of companies that are offering internships in the United Kingdom:

SLB – Data Science Intern
Tencent – NLP Research Intern
Cohere – Research Intern
Viridien – ML Intern
Tencent – Data Product Intern
Watchfinder – Data Engineer Intern

Check for these companies on LinkedIn to apply for these roles.

-------------Day-1 SQL----------

SQL is a standard language for accessing and manipulating databases.

✅What is SQL?
- SQL stands for Structured Query Language
- SQL lets you access and manipulate databases
- SQL became a standard of the American National Standards Institute (ANSI) in 1986, and of the International Organization for Standardization (ISO) in 1987

✅ What Can SQL do?
- SQL can execute queries against a database
- SQL can retrieve data from a database
- SQL can insert records in a database
- SQL can update records in a database
- SQL can delete records from a database
- SQL can create new databases
- SQL can create new tables in a database
- SQL can create stored procedures in a database
- SQL can create views in a database
- SQL can set permissions on tables, procedures, and views

✅✅ What Is a SQL Dialect, and Which one Should You Learn?

-----MySQL-----

MySQL is often compared to a handy free tool you might find in a toolbox. Imagine having a gadget that doesn't come with a price tag, yet is loved and recommended by many. That's MySQL for the digital world.



https://www.instagram.com/reel/C9y0R6uyXxw/?igsh=dW5zZGNxbmRkcXUw


Like for more❤️😍
Happy learning 🎊!

-------- Day-1 Statistics ---

Day-1 Statistics

✅ What is statistics?

Statistics is the study of the collection, analysis, interpretation, presentation, and organization of data. In other words, it is a mathematical discipline to collect, summarize data. Also, we can say that statistics is a branch of applied mathematics.

✅ Why study statistics?
statistics is one of the most important things that you can study.

To be more specific, here are some claims that we have heard on several occasions. (We are not saying that each one of these claims is true!)

- 4 out of 5 dentists recommend Dentine.
- Almost 85% of lung cancers in men and 45% in women are tobacco-related.

- People tend to be more persuasive when they look others directly in the eye and speak loudly and quickly.
- Women make 75 cents to every dollar a man makes when they work the same job.


✅ Common terms in Statistics!


1. Population

A population is a selected individual or group representing the full set of members of a certain group of interest.

2. Sample

A sample is a subset drawn from a larger population. If this drawing is accomplished in such a manner that each member of the population has an equitable chance of selection, the result is referred to as a random sample.

3. Parameters

A parameter is a value which is generated from a population. If I had all the data of all humans on Earth and generated the mean age, this value would be a parameter.

4. Statistics 📈

A statistic is a value which is generated from a sample

https://www.instagram.com/reel/C9zmyXfyJa1/?igsh=bm1ncWxvMnVkZWhx


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And don't forget to comment 😍

---------Day-2 of SQL-------------


✅ What is a Database?

- Definition: A database is an organized collection of structured information or data, typically stored electronically in a computer system.
- Purpose: Databases are used to store, manage, and retrieve data efficiently.

✅What is DBMS?

- Definition: DBMS (Database Management System) is software that interacts with end-users, applications, and the database itself to capture and analyze data.
- Function: It provides a systematic way to create, retrieve, update, and manage data.


✅ Features of DBMS

1. Data Integrity: Ensures accuracy and consistency of data.
2. Data Security: Protects data from unauthorized access.
3. Data Recovery: Provides mechanisms for data backup and recovery.
4. Data Independence: Separates data from application programs.
5. Concurrency Control: Manages simultaneous data access by multiple users.
6. Data Management: Facilitates data storage, retrieval, and update.

✅ How Can We Interact with DBMS?

- SQL (Structured Query Language): The most common language used to interact with a DBMS for querying, updating, and managing data.

- Database Interfaces: Tools and applications (e.g., phpMyAdmin, pgAdmin) that provide a graphical interface to interact with the database.

- APIs: Application Programming Interfaces that allow software applications to interact with the DBMS programmatically.

✅What is a Query and Why is it Used?

- Definition: A query is a request for data or information from a database table or combination of tables.
- Purpose: Used to extract specific data by filtering, sorting, and presenting it based on certain conditions.



Example of a Query on Amazon

Scenario

Extracting product details for all items in the "Electronics" category with ratings above 4 stars.
- SQL Example:

  SELECT product_name, price, rating 
  FROM products 
  WHERE category = 'Electronics' AND rating > 4;
  

- Usage: This query helps Amazon identify and display high-rated electronic products to customers, enhancing user experience and satisfaction.


https://www.instagram.com/reel/C91ZVGZyjyq/?igsh=MWJjaml1N3ZvdGd2dQ==


Like for more posts like these and drop your question on Instagram reel.

Those who are looking for the tutorials to learn tableau!!


Check out the video 📸 😍😍

https://yt.openinapp.co/l3963

📊 Day-2 of statistics 📈

Read caption and join telegram channel.
👉🏻👉🏻 Statistics have majorly categorised into two types:

✅ Descriptive statistics
✅ Inferential statistics

🎉Descriptive Statistics

In this type of statistics, the data is summarised through the given observations. The summarisation is one from a sample of population using parameters such as the mean or standard deviation.

Descriptive statistics is a way to organise, represent and describe a collection of data using tables, graphs, and summary measures. For example, the collection of people in a city using the internet or using Television.

🎉 Inferential Statistics

This type of statistics is used to interpret the meaning of Descriptive statistics. That means once the data has been collected, analysed and summarised then we use these stats to describe the meaning of the collected data. Or we can say, it is used to draw conclusions from the data that depends on random variations such as observational errors, sampling variation, etc.

Day-3 Sql challenge ✅

To download the Latest Mysql workbench, and server.
Comment “Server” to get the video tutorial link.

✅ What is a Relational Database (RDBMS)?

A relational database is a type of database that stores and provides access to data points that are related to one another. Relational databases are based on the relational model, an intuitive, straightforward way of representing data in tables. In a relational database, each row in the table is a record with a unique ID called the key. The columns of the table hold attributes of the data, and each record usually has a value for each attribute, making it easy to establish the relationships among data points.

✅ Relational terms

we need to know a few important terms. These are:

👉🏻 Relations – Most of us know what a table is from using spreadsheet software. It is a grid made up of rows and columns. Well in relational databases we often refer to these as “relations”.
👉🏻 Tuples – A row in a table is known as a record, or a tuple. A tuple holds all the data on a single item.
👉🏻 Attributes – An individual piece of data in a record is known as a field, or attribute.
Table Record Field
👉🏻 Domains – All the possible allowable values for an attribute. This is slightly different to the data type of the attribute.
👉🏻 Cardinality – How unique an attribute is in terms of its data values. Some attributes will have a wide range of different data values entered.


https://www.instagram.com/reel/C9383PmSW57/?igsh=aWhvdHMwNGFveGoy

Here's the 🔗 Link to download server and workbench

https://youtube.com/playlist?list=PL94h_jWyE-kB4bWodbKgx-_fA6pIat_jM&si=XxREu3bUP3VwCUQg

Here’s a list of companies that are offering internships in the United States:

Peerlogic – Data Analyst Intern
GuidewireRx – ML Intern
The Centers – Data Analytics Intern
W. R. Berkley – Data Science Intern
Dyania Health – NLP Intern
Royal Cyber – Data Scientist Intern

Search the company name on LinkedIn and apply for these internships

Day-3 of Statistics 📊

✅ What are Types of Data in Statistics?

The data is classified into majorly four categories:

Nominal data
Ordinal data
Discrete data
Continuous data

Nominal Data

Nominal data is one of the types of qualitative information which helps to label the variables without providing the numerical value.

Ordinal Data

Ordinal data/variable is a type of data that follows a natural order. The significant feature of the nominal data is that the difference between the data values is not determined.

Discrete Data

Discrete data can take only discrete values. Discrete information contains only a finite number of possible values.
Example: Number of students in the class

Continuous Data

Continuous data is data that can be calculated. It has an infinite number of probable values that can be selected within a given specific range.

Example: Temperature range


https://www.instagram.com/reel/C94s6GOSGBt/?igsh=MWRwYnFxbHhnY3Qycw==

On your demand 😍, I have uploaded the complete ✅ video on statistics introduction 😀

Go watch watch 😉 and let me know in the video comments , if you want more videos in this playlist ⏯️ ▶️.

https://yt.openinapp.co/pj5re

😍😍✅

Here is another video in the Tableau series.

https://yt.openinapp.co/78ly9


😍✅ Comment your view.

Yeah! Global is hiring for 2024

Role:- AI Engineer - India

Location:- Bangalore

Salary:- Upto 10 LPA

Apply Link 👇:-

https://yeahglobal.zohorecruit.in/jobs/Careers/96768000003083341/AI-Engineer---India

Apply before the link expires!!