5_6260478810370607322.pdf
2.6 MB
Pdf Resource:- How to get your first Data Science job
Source :- Springboard
Source :- Springboard
tom-lawry-ai-in-health-a-leader-s-guide-to-winning-in.pdf
9 MB
AI in Health
Tom Lawry, 2020
Tom Lawry, 2020
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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.
Like for more 😄❤️
Python WhatsApp Community: https://whatsapp.com/channel/0029VaiM08SDuMRaGKd9Wv0L
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.
Like for more 😄❤️
Python WhatsApp Community: https://whatsapp.com/channel/0029VaiM08SDuMRaGKd9Wv0L
👍4❤1
𝗠𝗮𝘀𝘁𝗲𝗿 𝗦𝗤𝗟 𝗳𝗼𝗿 𝗜𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄𝘀, 𝗙𝗮𝘀𝘁!
Here are 10 must-know SQL concepts:
● Stored Procedure vs. Function
Procedures allow DML; functions handle calculations only.
● Clustered vs. Non-Clustered Index
Clustered sorts data physically; non-clustered creates pointers.
● DELETE vs. TRUNCATE
DELETE is row-specific; TRUNCATE clears all rows fast.
● WHERE vs. HAVING
WHERE filters rows; HAVING filters after GROUP BY.
● Primary Key vs. Unique Key
Primary is unique & non-null; Unique allows one null.
● JOIN Types
INNER, LEFT, RIGHT, FULL JOIN—combine tables in different ways.
● Normalization Forms
Minimizes redundancy and improves data integrity.
● ACID Properties
Ensures reliable transactions with Atomicity, Consistency, Isolation, Durability.
● Indexes
Speeds up data retrieval; careful use is key.
● Subqueries
Nest queries within queries for flexible data retrieval.
Master these, and you’re SQL-interview ready!
Here are 10 must-know SQL concepts:
● Stored Procedure vs. Function
Procedures allow DML; functions handle calculations only.
● Clustered vs. Non-Clustered Index
Clustered sorts data physically; non-clustered creates pointers.
● DELETE vs. TRUNCATE
DELETE is row-specific; TRUNCATE clears all rows fast.
● WHERE vs. HAVING
WHERE filters rows; HAVING filters after GROUP BY.
● Primary Key vs. Unique Key
Primary is unique & non-null; Unique allows one null.
● JOIN Types
INNER, LEFT, RIGHT, FULL JOIN—combine tables in different ways.
● Normalization Forms
Minimizes redundancy and improves data integrity.
● ACID Properties
Ensures reliable transactions with Atomicity, Consistency, Isolation, Durability.
● Indexes
Speeds up data retrieval; careful use is key.
● Subqueries
Nest queries within queries for flexible data retrieval.
Master these, and you’re SQL-interview ready!
👍3
𝟲 𝗙𝗥𝗘𝗘 𝗬𝗼𝘂𝗧𝘂𝗯𝗲 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝘁𝗼 𝗞𝗶𝗰𝗸𝘀𝘁𝗮𝗿𝘁 𝗬𝗼𝘂𝗿 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗖𝗮𝗿𝗲𝗲𝗿!😍
Want to break into Data Analytics but don’t know where to start?
These 6 FREE courses cover everything—from Excel, SQL, Python, and Power BI to Business Math & Statistics and Portfolio Projects! 📊
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/4kMSztw
📌 Save this now and start learning today!
Want to break into Data Analytics but don’t know where to start?
These 6 FREE courses cover everything—from Excel, SQL, Python, and Power BI to Business Math & Statistics and Portfolio Projects! 📊
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/4kMSztw
📌 Save this now and start learning today!
Python Pandas Beginner's Guide
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Forwarded from Data Analysis Books | Python | SQL | Excel | Artificial Intelligence | Power BI | Tableau | AI Resources
𝗠𝗮𝘀𝘁𝗲𝗿 𝗦𝗼𝗳𝘁 𝗦𝗸𝗶𝗹𝗹𝘀 𝗳𝗼𝗿 𝗖𝗮𝗿𝗲𝗲𝗿 𝗦𝘂𝗰𝗰𝗲𝘀𝘀!😍
Want to stand out in your career?
Soft skills are just as important as technical expertise! 🌟
Here are 3 FREE courses to help you communicate, negotiate, and present with confidence
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/41V1Yqi
Tag someone who needs this boost! 🚀
Want to stand out in your career?
Soft skills are just as important as technical expertise! 🌟
Here are 3 FREE courses to help you communicate, negotiate, and present with confidence
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/41V1Yqi
Tag someone who needs this boost! 🚀