If you want to Excel as a Data Analyst, master these powerful skills:

* SQL Queries – SELECT, JOINs, GROUP BY, CTEs, Window Functions
* Excel Functions – VLOOKUP, XLOOKUP, PIVOT TABLES, POWER QUERY
* Data Cleaning – Handle missing values, duplicates, and inconsistencies
* Python for Data Analysis – Pandas, NumPy, Matplotlib, Seaborn
* Data Visualization – Create dashboards in Power BI/Tableau
* Statistical Analysis – Hypothesis testing, correlation, regression
* ETL Process – Extract, Transform, Load data efficiently
* Business Acumen – Understand industry-specific KPIs
* A/B Testing – Data-driven decision-making
* Storytelling with Data – Present insights effectively

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𝗧𝗖𝗦 𝗶𝘀 𝗢𝗳𝗳𝗲𝗿𝗶𝗻𝗴 𝗮 𝗙𝗿𝗲𝗲 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗲𝗱 𝗖𝗼𝘂𝗿𝘀𝗲 𝗶𝗻 𝗠𝗮𝘀𝘁𝗲𝗿 𝗗𝗮𝘁𝗮 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁

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"DeepSeek-V3 Takes the Lead! 🚀📊"
AI benchmark showdown! DeepSeek-V3 dominates across multiple categories, hitting 90.2% on MATH 500 and 51.6% on Codeforces. 🏆 How do other models compare?

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🔹 SWE-bench: Claude-3.5 slightly edges out at 50.8%, but DeepSeek-V3 remains strong.

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Difference between HTTP and HTTPS

Relatable? 😹😹

Why is Cloud so important to learn?

- Azure + Data Factory = Data Pipelines
- Azure + Synapse Analytics = Data Warehousing & Analytics
- Azure + Databricks = Collaborative Analytics
- Azure + Cosmos DB = NoSQL Databases
- Azure + HDInsight = Hadoop & Big Data
- Azure + Blob Storage = Scalable Storage
- Azure + Event Hubs = Streaming Data
- Azure + Stream Analytics = Real-Time Analytics
- Azure + Virtual Network = Network Management
- Azure + Monitor = Cloud Monitoring
- AWS + Glue = ETL and Data Integration
- AWS + Redshift = Data Warehousing
- AWS + EMR = Big Data Processing
- AWS + S3 = Object Storage
- AWS + Kinesis = Real-Time Data Streaming
- AWS + RDS = Managed Databases
- AWS + DynamoDB = NoSQL Databases
- AWS + Data Pipeline = Data Workflow Orchestration
- AWS + IAM = Identity Management
- AWS + CloudWatch = Monitoring and Logging
- GCP + Dataflow = Stream & Batch Processing
- GCP + BigQuery = Data Warehousing
- GCP + Dataproc = Managed Hadoop & Spark
- GCP + Cloud Storage = Object Storage
- GCP + Pub/Sub = Messaging & Event Ingestion
- GCP + Dataprep = Data Preparation
- GCP + Bigtable = NoSQL Databases
- GCP + IAM = Access Management
- GCP + VPC = Virtual Private Cloud
- GCP + Composer = Workflow Orchestration

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Here is an A-Z list of essential programming concepts:

A - Algorithms
B - Boolean Logic
C - Control Structures
D - Data Structures
E - Encapsulation
F - Functions
G - Generics
H - High-level vs. Low-level Languages
I - Inheritance
J - JSON (JavaScript Object Notation)
K - Key-Value Pair
L - Loops
M - Modularity
N - Null Pointer
O - Object-Oriented Programming
P - Polymorphism
Q - Queue (Data Structure)
R - Recursion
S - Sorting Algorithms
T - Time Complexity
U - Unit Testing
V - Variables
W - Web Development Basics
X - XML (eXtensible Markup Language)
Y - YAML (YAML Ain't Markup Language)
Z - Zero-Based Indexing

These concepts are fundamental to understanding and writing code effectively. They form the building blocks of programming knowledge and are essential for creating robust and efficient software solutions.

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Despite the Trump administration's assertions that it is negotiating new trade agreements with various countries, the uncertainty around tariffs and their potential impact on the US economy has companies on edge.

Remote Front-End Engineer Job at Eyeo - Berlin/Remote

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Night Routine for Quality Sleep:

1. No screens 1 hour before bed
2. Dim the lights after 8 PM
3. Light stretching or deep breathing
4. Gratitude journaling (3 things)
5. No heavy meals late at night
6. Read 5–10 pages of a peaceful book
7. Sleep between 9:30–10:30 PM

Double Tap ❤️ if this helped you

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🚀 𝐓𝐨𝐩 𝟗 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐀𝐥𝐠𝐨𝐫𝐢𝐭𝐡𝐦𝐬 𝐘𝐨𝐮 𝐒𝐡𝐨𝐮𝐥𝐝 𝐊𝐧𝐨𝐰! 🤖

1️⃣ Support Vector Machines (SVMs) – Best for classification tasks and separating data with a clear margin.
2️⃣ Information Retrieval – Crucial for search engines, recommendation systems, and organizing large datasets.
3️⃣ K-Nearest Neighbors (KNN) – Simple yet effective for classification and regression based on proximity.
4️⃣ Learning to Rank (LTR) – Optimizes search result relevance (used in Google, Bing, etc.).
5️⃣ Decision Trees – Intuitive, visual models for decision-making tasks.
6️⃣ K-Means Clustering – Unsupervised algorithm for grouping similar data points.
7️⃣ Convolutional Neural Networks (CNNs) – Specialized for image and video data analysis.
8️⃣ Naive Bayes – Probabilistic model great for text classification (like spam detection).
9️⃣ Principal Component Analysis (PCA) – Dimensionality reduction to simplify complex datasets.

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𝟲 𝗙𝗿𝗲𝗲 𝗔𝗜 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝘁𝗼 𝗧𝗮𝗸𝗲 𝗶𝗻 𝟮𝟬𝟮𝟱: 𝗜𝗕𝗠, 𝗚𝗼𝗼𝗴𝗹𝗲, 𝗛𝗲𝗹𝘀𝗶𝗻𝗸𝗶, 𝗛𝗮𝘃𝗮𝗿𝗱😍

Whether you’re a student, aspiring data analyst, software enthusiast, or just curious about AI, now’s the perfect time to dive in.

These 6 beginner-friendly and completely free AI courses from top institutions like Google, IBM, Harvard, and more

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Apple plans to source more than 19 billion chips from the US this year, part of a global supply chain shift to gradually lessen its reliance on China and elevate India for iPhone production.

t.me/techpsyche

Most used Git commands in Software Engineering:

𝟭. 𝗴𝗶𝘁 𝗱𝗶𝗳𝗳: Show file differences not yet staged.
𝟮. 𝗴𝗶𝘁 𝗰𝗼𝗺𝗺𝗶𝘁 -𝗮 -𝗺 "𝗰𝗼𝗺𝗺𝗶𝘁 𝗺𝗲𝘀𝘀𝗮𝗴𝗲": Commit all tracked changes with a message.
𝟯. 𝗴𝗶𝘁 𝘀𝘁𝗮𝘁𝘂𝘀: Show the state of your working directory.
𝟰. 𝗴𝗶𝘁 𝗮𝗱𝗱 𝗳𝗶𝗹𝗲_𝗽𝗮𝘁𝗵:Add file(s) to the staging area.
𝟱. 𝗴𝗶𝘁 𝗰𝗵𝗲𝗰𝗸𝗼𝘂𝘁 -𝗯 𝗯𝗿𝗮𝗻𝗰𝗵_𝗻𝗮𝗺𝗲: Create and switch to a new branch.
𝟲. 𝗴𝗶𝘁 𝗰𝗵𝗲𝗰𝗸𝗼𝘂𝘁 𝗯𝗿𝗮𝗻𝗰𝗵_𝗻𝗮𝗺𝗲: Switch to an existing branch.
𝟳. 𝗴𝗶𝘁 𝗰𝗼𝗺𝗺𝗶𝘁 --𝗮𝗺𝗲𝗻𝗱:Modify the last commit.
𝟴. 𝗴𝗶𝘁 𝗽𝘂𝘀𝗵 𝗼𝗿𝗶𝗴𝗶𝗻 𝗯𝗿𝗮𝗻𝗰𝗵_𝗻𝗮𝗺𝗲: Push a branch to a remote.
𝟵. 𝗴𝗶𝘁 𝗽𝘂𝗹𝗹: Fetch and merge remote changes.
𝟭𝟬. 𝗴𝗶𝘁 𝗿𝗲𝗯𝗮𝘀𝗲 -𝗶: Rebase interactively, rewrite commit history.
𝟭𝟭. 𝗴𝗶𝘁 𝗰𝗹𝗼𝗻𝗲: Create a local copy of a remote repo.
𝟭𝟮. 𝗴𝗶𝘁 𝗺𝗲𝗿𝗴𝗲: Merge branches together.
𝟭𝟯. 𝗴𝗶𝘁 𝗹𝗼𝗴 --𝘀𝘁𝗮𝘁: Show commit logs with stats.
𝟭𝟰. 𝗴𝗶𝘁 𝘀𝘁𝗮𝘀𝗵: Stash changes for later.
𝟭𝟱. 𝗴𝗶𝘁 𝘀𝘁𝗮𝘀𝗵 𝗽𝗼𝗽: Apply and remove stashed changes.
𝟭𝟲. 𝗴𝗶𝘁 𝘀𝗵𝗼𝘄 𝗰𝗼𝗺𝗺𝗶𝘁_𝗶𝗱: Show details about a commit.
𝟭𝟳. 𝗴𝗶𝘁 𝗿𝗲𝘀𝗲𝘁 𝗛𝗘𝗔𝗗~𝟭: Undo the last commit, preserving changes locally.
𝟭𝟴. 𝗴𝗶𝘁 𝗳𝗼𝗿𝗺𝗮𝘁-𝗽𝗮𝘁𝗰𝗵 -𝟭 𝗰𝗼𝗺𝗺𝗶𝘁_𝗶𝗱: Create a patch file for a specific commit.
𝟭𝟵. 𝗴𝗶𝘁 𝗮𝗽𝗽𝗹𝘆 𝗽𝗮𝘁𝗰𝗵_𝗳𝗶𝗹𝗲_𝗻𝗮𝗺𝗲: Apply changes from a patch file.
𝟮𝟬. 𝗴𝗶𝘁 𝗯𝗿𝗮𝗻𝗰𝗵 -𝗗 𝗯𝗿𝗮𝗻𝗰𝗵_𝗻𝗮𝗺𝗲: Delete a branch forcefully.
𝟮𝟭. 𝗴𝗶𝘁 𝗿𝗲𝘀𝗲𝘁: Undo commits by moving branch reference.
𝟮𝟮. 𝗴𝗶𝘁 𝗿𝗲𝘃𝗲𝗿𝘁: Undo commits by creating a new commit.
𝟮𝟯. 𝗴𝗶𝘁 𝗰𝗵𝗲𝗿𝗿𝘆-𝗽𝗶𝗰𝗸 𝗰𝗼𝗺𝗺𝗶𝘁_𝗶𝗱: Apply changes from a specific commit.
𝟮𝟰. 𝗴𝗶𝘁 𝗯𝗿𝗮𝗻𝗰𝗵: Lists branches.
𝟮𝟱. 𝗴𝗶𝘁 𝗿𝗲𝘀𝗲𝘁 --𝗵𝗮𝗿𝗱: Resets everything to a previous commit, erasing all uncommitted changes.

*React ❤️ for more*

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