Python Pandas Basics to Advanced

https://www.linkedin.com/posts/sql-analysts_python-with-pandas-activity-7138391692432371712-sNOz?utm_source=share&utm_medium=member_android

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Thanks for the likes and comments on LinkedIn. You guys are the reason because of which I am still sharing free resources❤️

5 Mini Projects for Power BI
👇👇
https://t.iss.one/PowerBI_analyst/52

Steps to become data analyst when you are fresher 👇👇

1 - First try to focus 3 mandatory skills i.e. Sql, Ms excel and python -

- For sql you can refer Ankit Bansal Or Thoufiq Mohammed (techtfq) on @sqlanalyst
- For Ms excel refer Leila Gharani or @excel_analyst
- For python refer freecodecamp from YouTube or @pythonanalyst

2 - After that try to be clear with basic idea of tableau or powerbi. (Not mandatory for every job). You can refer this channel for free resources https://t.iss.one/PowerBI_analyst

3 - Add your college project in your resume, if it's a data science related project it will help a lot. If you don't have project then you can make some dashboarding projects from YouTube in tableau/powerbi.

4 - And start applying for jobs which is having 0-1 yr experience required, you can also apply for 1 yr experience required job in analytics because sometimes they may consider fresher also. You can refer this channel @jobs_sql for job opportunities

Complete Syllabus for Data Analytics interview:

SQL:
1. Basic   
- SELECT statements with WHERE, ORDER BY, GROUP BY, HAVING   
- Basic JOINS (INNER, LEFT, RIGHT, FULL)   
- Creating and using simple databases and tables

2. Intermediate   
- Aggregate functions (COUNT, SUM, AVG, MAX, MIN)   
- Subqueries and nested queries
- Common Table Expressions (WITH clause)   
- CASE statements for conditional logic in queries
3. Advanced   
- Advanced JOIN techniques (self-join, non-equi join)   
- Window functions (OVER, PARTITION BY, ROW_NUMBER, RANK, DENSE_RANK, lead, lag)   
- optimization with indexing   
- Data manipulation (INSERT, UPDATE, DELETE)

Python:
1. Basic   
- Syntax, variables, data types (integers, floats, strings, booleans)   
- Control structures (if-else, for and while loops)   
- Basic data structures (lists, dictionaries, sets, tuples)   
- Functions, lambda functions, error handling (try-except)   
- Modules and packages

2. Pandas & Numpy   
- Creating and manipulating DataFrames and Series   
- Indexing, selecting, and filtering data   
- Handling missing data (fillna, dropna)   
- Data aggregation with groupby, summarizing data   
- Merging, joining, and concatenating datasets

3. Basic Visualization   
- Basic plotting with Matplotlib (line plots, bar plots, histograms)   
- Visualization with Seaborn (scatter plots, box plots, pair plots)   
- Customizing plots (sizes, labels, legends, color palettes)   
- Introduction to interactive visualizations (e.g., Plotly)

Excel:
1. Basic   
- Cell operations, basic formulas (SUMIFS, COUNTIFS, AVERAGEIFS, IF, AND, OR, NOT & Nested Functions etc.)   
- Introduction to charts and basic data visualization   
- Data sorting and filtering   
- Conditional formatting

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

3. Advanced   
- Array formulas and advanced functions   
- Data Model & Power Pivot
- Advanced Filter
- Slicers and Timelines in Pivot Tables   
- Dynamic charts and interactive dashboards

Power BI:
1. Data Modeling   
- Importing data from various sources   
- Creating and managing relationships between different datasets   
- Data modeling basics (star schema, snowflake schema)

2. Data Transformation   
- Using Power Query for data cleaning and transformation   
- Advanced data shaping techniques   
- Calculated columns and measures using DAX

3. Data Visualization and Reporting   - Creating interactive reports and dashboards   
- Visualizations (bar, line, pie charts, maps)   
- Publishing and sharing reports, scheduling 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.

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Machine Learning Resources 🤯🤯

📌 A-Z Machine Learning
📌 AI
📌 Python
📌 ChatGPT (Bonus)

https://www.linkedin.com/posts/sql-analysts_ai-machinelearning-python-activity-7139859095532072960-H1RZ?utm_source=share&utm_medium=member_android

33 companies that are CURRENTLY HIRING for 100% REMOTE JOBS
👇👇
https://www.linkedin.com/posts/sql-analysts_jobboard-remotehiring-remoteworking-activity-7141483435960832000-2k4s?utm_source=share&utm_medium=member_android

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55 AI Tools to Start Your Online Business in 2023:
👇👇
https://t.iss.one/ai_best_tools/54

Excel Smart Guide 80 Tips and Tricks on Excel🤩👇
https://www.linkedin.com/posts/sql-analysts_excel-dataanalytics-activity-7142083911546839040-OREJ?utm_source=share&utm_medium=member_android

Microsoft is hiring for their research fellow program 👇
https://www.linkedin.com/posts/sql-analysts_microsoft-research-researchscholar-activity-7142373766130561025-Ujyl?utm_source=share&utm_medium=member_android

Free Guide to Master Python
👇👇
https://www.linkedin.com/posts/sql-analysts_master-python-with-this-free-guide-tips-activity-7142572820852641793-l0UX?utm_source=share&utm_medium=member_android

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

Hiring Opportunities
👇👇
https://www.linkedin.com/posts/sql-analysts_dataanalyst-dataanalystjobs-jobapplication-activity-7143483743209517056-s40p?utm_source=share&utm_medium=member_android

Python Guide Giveaway
👇👇
https://www.linkedin.com/posts/sql-analysts_python-pythonprojects-freecourses-activity-7143810292228026368-wnhL?utm_source=share&utm_medium=member_android

150 ChatGPT Prompts to monitise your ideas
👇👇
https://www.linkedin.com/posts/best-aitools_2023-is-ending-but-your-ai-opportunities-activity-7144245612618711040-jBU4?utm_source=share&utm_medium=member_android

How to focus on work: 2 effective ways

1. Don't fight it.

Admitting that you're going through a difficult time in your life is the first step to breaking the deadlock. Admitting doesn't mean you've given up. On the contrary, it is a sign that you are aware of the situation and ready to act.

Remember, like in physics: the resistance of a conductor weakens the current. In life, it's the same way: the more you resist, the more you lose strength.

2. Remember, the choice is yours.

University of Pittsburgh research has shown that anxiety directly affects our cognitive abilities. To get rid of this feeling, it's important to remind yourself that you can control the situation and leave the choices up to you.

- What tasks are critical to get done today for a successful project?
- What can I do after work to gain strength?
- What do I need to give up at this point?

Free Statistics Courses for Data Analysis By Udacity👇👇

https://imp.i115008.net/9WnNy3

https://imp.i115008.net/xkvo2O

https://imp.i115008.net/rQyWzB

ENJOY 😌

Data Analytics Free Study Material
👇👇
https://www.linkedin.com/posts/sql-analysts_data-analytics-study-material-collection-activity-7144689318530383872-UcDp?utm_source=share&utm_medium=member_android

400+ comments 😄
Allow me sometime to respond to you all ❤️

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