Essential Topics to Master Data Science Interviews: 🚀

SQL:
1. Foundations
- Craft SELECT statements with WHERE, ORDER BY, GROUP BY, HAVING
- Embrace Basic JOINS (INNER, LEFT, RIGHT, FULL)
- Navigate through simple databases and tables

2. Intermediate SQL
- Utilize Aggregate functions (COUNT, SUM, AVG, MAX, MIN)
- Embrace Subqueries and nested queries
- Master Common Table Expressions (WITH clause)
- Implement CASE statements for logical queries

3. Advanced SQL
- Explore Advanced JOIN techniques (self-join, non-equi join)
- Dive into Window functions (OVER, PARTITION BY, ROW_NUMBER, RANK, DENSE_RANK, lead, lag)
- Optimize queries with indexing
- Execute Data manipulation (INSERT, UPDATE, DELETE)

Python:
1. Python Basics
- Grasp Syntax, variables, and data types
- Command Control structures (if-else, for and while loops)
- Understand Basic data structures (lists, dictionaries, sets, tuples)
- Master Functions, lambda functions, and error handling (try-except)
- Explore Modules and packages

2. Pandas & Numpy
- Create and manipulate DataFrames and Series
- Perfect Indexing, selecting, and filtering data
- Handle missing data (fillna, dropna)
- Aggregate data with groupby, summarizing data
- Merge, join, and concatenate datasets

3. Data Visualization with Python
- Plot with Matplotlib (line plots, bar plots, histograms)
- Visualize with Seaborn (scatter plots, box plots, pair plots)
- Customize plots (sizes, labels, legends, color palettes)
- Introduction to interactive visualizations (e.g., Plotly)

Excel:
1. Excel Essentials
- Conduct Cell operations, basic formulas (SUMIFS, COUNTIFS, AVERAGEIFS, IF, AND, OR, NOT & Nested Functions etc.)
- Dive into charts and basic data visualization
- Sort and filter data, use Conditional formatting

2. Intermediate Excel
- Master Advanced formulas (V/XLOOKUP, INDEX-MATCH, nested IF)
- Leverage PivotTables and PivotCharts for summarizing data
- Utilize data validation tools
- Employ What-if analysis tools (Data Tables, Goal Seek)

3. Advanced Excel
- Harness Array formulas and advanced functions
- Dive into Data Model & Power Pivot
- Explore Advanced Filter, Slicers, and Timelines in Pivot Tables
- Create dynamic charts and interactive dashboards

Power BI:
1. Data Modeling in Power BI
- Import data from various sources
- Establish and manage relationships between datasets
- Grasp Data modeling basics (star schema, snowflake schema)

2. Data Transformation in Power BI
- Use Power Query for data cleaning and transformation
- Apply advanced data shaping techniques
- Create Calculated columns and measures using DAX

3. Data Visualization and Reporting in Power BI
- Craft interactive reports and dashboards
- Utilize Visualizations (bar, line, pie charts, maps)
- Publish and share reports, schedule data refreshes

Statistics Fundamentals:
- Mean, Median, Mode
- Standard Deviation, Variance
- Probability Distributions, Hypothesis Testing
- P-values, Confidence Intervals
- Correlation, Simple Linear Regression
- Normal Distribution, Binomial Distribution, Poisson Distribution.

Show some ❤️ if you're ready to elevate your data science game! 📊

ENJOY LEARNING 👍👍

150 ChatGPT Money Making Prompts
👇👇
https://www.linkedin.com/posts/sql-analysts_chatgpt-just-got-an-upgrade-and-so-will-activity-7141796382746599424-Mv-t

Sent to all who liked and commented on the post 😄

SQL Complete Study Material Giveaway
👇👇
https://www.linkedin.com/posts/sql-analysts_sql-dataanalytics-sqlqueries-activity-7143156922639196160-cQvF?utm_source=share&utm_medium=member_android

Data Science & Machine Learning Project Discussions
👇👇
https://news.1rj.ru/str/Kaggle_Group

STRONG PERSONALITIES HAVE THEIR PRINCIPLES

I am telling you a must have trait if you want to build your personality.
You must live with your STRONG PRINCIPLES!

If you decided to not to smoke or drink, NEVER DO IT whatever the condition is.

THIS IS YOUR PRINCIPLE.

If you decided not to eat non-veg, then never do it.

YOU CAN HAVE YOUR OWN STRONG PRINCIPLES IN LIFE!

The thing that matter is to follow them no matter what the condition is!!!

Data Science in a Nutshell
👇👇
https://www.linkedin.com/posts/sql-analysts_dataanalytics-sql-sqlserver-activity-7144197434196353024-tg8E?utm_source=share&utm_medium=member_android

What are predictive algorithms in the context of the stock market?

https://news.1rj.ru/str/stockmarketingfun/277

Every Data Scientist should know this
👇👇
https://www.linkedin.com/posts/sql-analysts_data-science-cheatsheet-activity-7144556047448391680-ir90?utm_source=share&utm_medium=member_android

Mastering Shortcuts for Data Scientists
👇👇
https://www.linkedin.com/posts/sql-analysts_mastering-shortcuts-for-data-scientists-activity-7145277074553970688-hVkJ?utm_source=share&utm_medium=member_android

Machine Learning Interview Questions

Python Real-world Projects
👇👇
https://news.1rj.ru/str/pythonspecialist/105

Apache Spark Free Resources
https://www.linkedin.com/posts/sql-analysts_comments-spark-java-activity-7146028247854616577-7OX_?utm_source=share&utm_medium=member_android

Machine Learning for Decision Makers
👇👇
https://news.1rj.ru/str/machinelearning_deeplearning/110

To start with Machine Learning:

1. Learn Python
2. Practice using Google Colab


Take these free courses:

https://news.1rj.ru/str/datasciencefun/290

If you need a bit more time before diving deeper, finish the Kaggle tutorials.

At this point, you are ready to finish your first project: The Titanic Challenge on Kaggle.

If Math is not your strong suit, don't worry. I don't recommend you spend too much time learning Math before writing code. Instead, learn the concepts on-demand: Find what you need when needed.

From here, take the Machine Learning specialization in Coursera. It's more advanced, and it will stretch you out a bit.

The top universities worldwide have published their Machine Learning and Deep Learning classes online. Here are some of them:

https://news.1rj.ru/str/datasciencefree/259

Many different books will help you. The attached image will give you an idea of my favorite ones.

Finally, keep these three ideas in mind:

1. Start by working on solved problems so you can find help whenever you get stuck.
2. ChatGPT will help you make progress. Use it to summarize complex concepts and generate questions you can answer to practice.
3. Find a community on LinkedIn or 𝕏 and share your work. Ask questions, and help others.

During this time, you'll deal with a lot. Sometimes, you will feel it's impossible to keep up with everything happening, and you'll be right.

Here is the good news:

Most people understand a tiny fraction of the world of Machine Learning. You don't need more to build a fantastic career in space.

Focus on finding your path, and Write. More. Code.

That's how you win.✌️✌️

Additional Resources To Assist Research

https://www.reddit.com/r/MachineLearning/

• https://www.reddit.com/r/deeplearning/

• https://paperswithcode.com/

• https://www.datasimplifier.com/

• https://papers.nips.cc/

• https://icml.cc/

• https://iclr.cc/

• https://www.researchgate.net/

ENJOY LEARNING 👍👍

Data Science Interview Questions
👇👇
https://www.linkedin.com/posts/sql-analysts_data-science-interview-questions-activity-7151094128284479489-YvbU?utm_source=share&utm_medium=member_android

Statistics for Data Science 👇👇 https://www.linkedin.com/posts/sql-analysts_statistics-for-data-science-activity-7151884492155056130-Bwb1?utm_source=share&utm_medium=member_android

All Data Analytics, SQL, Python, ML, Data Science & other useful Study materials complete free Notes😍🔥

https://www.linkedin.com/posts/sql-analysts_all-data-analytics-sql-python-ml-data-activity-7152184466231222272-gEFZ?utm_source=share&utm_medium=member_android

Data Science Interview Preparation 👇👇
https://www.linkedin.com/posts/sql-analysts_datascience-dataanalytics-data-activity-7154514626787848192-BYVD?utm_source=share&utm_medium=member_android