Arif Alam

Best Youtube Channels to learn:

1. Java: Neso Academy

https://lnkd.in/d3gnPGyU

2. Python: corey schafer

https://lnkd.in/dGKP-dPv

3. SQL: Joey Blue

https://lnkd.in/dkXiYzFr

4. MS Excel: Mike “excelisfun“ Girvin

https://lnkd.in/dh8dPBYZ

5. Math for AI: Simplilearn

https://lnkd.in/daDjwZxy

6. Blockchain: TELUSKO

https://lnkd.in/d_QthVZq

7. Machine Learning: Krish Naik

https://lnkd.in/dtyq6W_T

If you interested learning in:

- Python 🐍
- AI/ML 🤖
- Data Science 🐼
- SW Dev 🛠
- AI Tools 🧰
- Roadmap ❗️

Find me → Arif Alam ✔️

Everyday, I share post on above topics.

#youtube #learning #free #linkedin #like

Study Computer Science to Data Science from Harvard University FREE

Harvard University is offering free online courses

Here are 10 FREE Courses which you don't want to miss.

1. Introduction to Computer Science

🔗https://lnkd.in/d4-tkpyz

2. Introduction to Programming with Scratch

🔗https://lnkd.in/drHGpDYq

3. Web Programming with Python and JavaScript

🔗https://lnkd.in/dNCz7N6D

4. Introduction to Programming with Python

🔗https://lnkd.in/dt2JUnNj

5. Understanding Technology

🔗https://t.co/bwn8J895kK

6. Introduction to Artificial Intelligence with Python

🔗https://t.co/EqEGAeqkje

7. Introduction to Game Development

🔗https://t.co/krIOPSYBAv

8. Mobile App Development with React Native

🔗https://t.co/s1iB2eatYw

9. CS50's Computer Science for Business Professionals

🔗https://t.co/bqMfkPGWVR

10. Introduction to Data Science with Python

🔗https://t.co/u2VxokJDBM

Like this post?

Please let me know what you thought in the comments below, follow me, and share it with your connection. They may find it useful too.

#programming #computerscience #like #share #datascience #python #development #react #technology #linkedin

🪄100 days of data science

✨Day-77

💥 Different between data analyst & data scientist.

Simply put, a data analyst makes sense out of existing data, whereas a data scientist works on new ways of capturing and analyzing data to be used by the analysts.

If you love numbers and statistics as well as computer programming, either path could be a good fit for your career goals.

Thanks to Data Science Dojo for sharing this.

I share my learning journey into Data Science with my amazing LinkedIn friends, please follow me and let's grow together! Arif Alam 💡

#DataScience #DataAnalytics #BigData #datascientist #statistics #linkedin #share #learning #data

𝗧𝗼𝗽 𝟮𝟬 𝗪𝗲𝗯𝘀𝗶𝘁𝗲𝘀 𝗙𝗼𝗿 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 𝗔𝗻𝗱 𝗠𝗟.📌

👇👇

Elite data science

KDnuggets

Kaggle

Reddit, Inc.

Towards Data Science

Datafloq

Domino data science blog

Machine Learning Mastery

Nature machine lntelligence

GeeksforGeeks

Maria Theresa Costales

The google news

Pete warden blogs

Data36 - Data Science Courses

Revolutions.ai

Edwin Chen

insideBIGDATA

Google AI Community

Analytics Vidhya

Data Science Dojo

Data Science Reality

Curve AI

Data Science 101

Happy learning !🙌

Follow Arif Alam for more.⚡️


#machinelearning #datascience #ai #analytics #data #bigdata #kaggle #google #blogs #learning #community #linkedinlearning

Learn SQL by spending $0 Online.💡


12. Advanced Databases and SQL Querying

🖇️https://lnkd.in/d-cNuYre

11. A Beginners' Guide to SQL

🖇️https://lnkd.in/d8fXnv8f

10. SQL Tutorial - Full Database Course for Beginners

🖇️https://lnkd.in/duzDYxyW

9. SQL for Beginners Tutorial

🖇️https://lnkd.in/dJttx-NE

8. SQL/MySQL Database Basics

🖇️https://lnkd.in/dCWN8jK5

7. MySQL Crash Course | Learn SQL

🖇️https://lnkd.in/dyvqM3ir

6. MySQL Tutorial for Beginners [Full Course]

🖇️https://lnkd.in/dnj9VCiA

5. Fundamentals of SQL

🖇️https://lnkd.in/dpthiBvq

4. W3school

🖇️https://lnkd.in/drF-txV7

3. Introduction to SQL & Databases

🖇️https://lnkd.in/dTURbaZQ

2. SQL Course

🖇️https://www.sqlcourse.com/

1. SQL in a Simplified Manner

🖇️https://lnkd.in/dWF3Gir8

That's a wrap.⚡️

Happy Learning! 🙌

Follow Arif Alam for more.📌

Hashtag's: #learning #sql #database #linkedin #linkedinlearning #linkedinpost #sqldeveloper

10 Free online courses that'll teach you more than a $50,000 MBA degree:

10. Introduction to Finance and Accounting Specialization

by University of Pennsylvania

What you'll learn:

• Corporate financing
• Fundamentals of Finance
• More on Financial Accounting

🔗https://lnkd.in/dTkQBrCG

9. Competitive Strategy

by Ludwig-Maximilians-Universität München

What you'll learn:

• Entering a new market
• Taking care of your competitors
• Complementary products and Strategic Partnerships

🔗https://lnkd.in/d7cr_duD

8. Foundations of Business Strategy

by University of Virginia

What you'll learn:

• Analyzing Industry Structure
• Determining Competitive Position
• Introduction to Strategic Analysis

🔗https://lnkd.in/d9m8DYN9

7. Entrepreneurship 101: Who is your customer?

by Massachusetts Institute of Technology

What you'll learn:

• Market Segmentation
• Beachhead Market Analysis
• Profiling of Customer Persona

🔗https://lnkd.in/d89uRVNy

6. How to Build a Startup

by The Lean Launchpad

What you'll learn:

• Value proposition & CRM
• Resources activities and costs
• Business models and customer development

🔗https://lnkd.in/dXV9xdgt

5. Successful Negotiation: Essential Strategies and Skills

by University of Michigan

What you'll learn:

• Creating a contract
• Planning a negotiation strategy
• Key tactics for negotiation success

🔗https://lnkd.in/dWZD-QrF

4. Essentials of Corporate Finance Specialization

by University of Melbourne

What you'll learn:

• Role of Global Capital Markets
• Approach to Valuation and Investments
• Language and tools of Financial Analysis

🔗https://lnkd.in/dn63yZYT

3. Marketing in a Digital World

by University of Illinois Chicago

What you'll learn:

• How digital tools are changing price
• How digital tools are changing product
• How digital tools are changing promotion
• How digital tools are changing placement

🔗https://lnkd.in/dZV5UEYr

2. Introduction to Marketing

by University of Pennsylvania

What you'll learn:

• Marketing strategy and Brand positioning
• Communications strategy & Fundamentals of pricing

🔗https://lnkd.in/duERcBH5

1. Introduction to Project Management

by the University of Adelaide

What you'll learn:

• Core knowledge and skills in project management
• Essential communication skills to manage a project
• An understanding of why today’s projects are more complex

🔗https://lnkd.in/daMpaMbk

Like this post?

Please let me know what you thought in the comments below, follow me, and share it with your connection. They may find it useful too.

Hashtag's: #entrepreneurship #business #mba #marketing #like #startup #mbafinance #linkedinlearning #linkedin

Learn Python by spending $0 Online:

Here's Top 10 Python Courses from freeCodeCamp to level up in Python.

10. Learn Python

🔗https://lnkd.in/dmSfDqWu

9. Python for Data Science

🔗https://lnkd.in/df5TwaAp

8. Scikit-learn Crash Course

🔗https://lnkd.in/dSbF-XXn

7. Machine Learning for Everybody

🔗https://lnkd.in/dg56yFH7

6. PySpark Tutorial

🔗https://lnkd.in/dkzfkxUn

5. OpenCV Python Course

🔗https://lnkd.in/dyVBkC2y

4. 12 Data Science Apps

🔗https://lnkd.in/dHJvEJj4

3. DSA in Python

🔗https://lnkd.in/dgQ3jnpJ

2. Automate with Python

🔗https://lnkd.in/dwF7yiWC

1. Python API Development

🔗https://lnkd.in/dycHfETP

Like this post?

Please let me know what you thought in the comments below, follow me, and share it with your connection. They may find it useful too.

Hashtag's: #python #machinelearning #datascience #development #share #like #freecodecamp #youtube #learning #linkedin

Don't be overwhelmed by Data Science! 📊

Data Science is a vast field encompassing various topics.

Here's a simplified breakdown to get you started:

1. Data Collection and Preprocessing
- Data Sources
- Data Cleaning
- Data Transformation

2. Exploratory Data Analysis (EDA)
- Data Visualization
- Descriptive Statistics
- Data Distribution

3. Statistical Concepts
- Probability
- Hypothesis Testing
- Regression Analysis

4. Machine Learning
- Supervised Learning
- Unsupervised Learning
- Model Evaluation
- Feature Engineering

5. Data Science Libraries
- Python: Pandas, NumPy, Matplotlib, Seaborn
- R: dplyr, ggplot2
- Scikit-Learn, TensorFlow, PyTorch

6. Big Data
- Hadoop
- Apache Spark

7. Data Science Tools
- Jupyter Notebooks
- RStudio

8. Data Science Process
- Problem Definition
- Data Collection
- Data Analysis
- Model Building
- Model Deployment

9. Data Visualization
- Matplotlib
- Seaborn
- Tableau
- Power BI

10. Natural Language Processing (NLP)
- Text Processing
- Sentiment Analysis
- Text Classification

11. Deep Learning
- Neural Networks
- Convolutional Neural Networks (CNN)
- Recurrent Neural Networks (RNN)
- Transfer Learning

12. Data Science in Business
- Data-Driven Decision Making
- A/B Testing
- Customer Segmentation

Advanced Concepts:

13. Time Series Analysis
- Forecasting
- Seasonal Decomposition

14. Dimensionality Reduction
- Principal Component Analysis (PCA)
- t-SNE

15. Ensemble Methods
- Random Forest
- Gradient Boosting

16. Clustering Algorithms
- K-Means
- DBSCAN

17. Data Science Ethics
- Bias and Fairness
- Privacy and Security

Resources to Learn Data Science:

1. Online Courses:

https://lnkd.in/d-Xe2BEM

2. Books:

https://lnkd.in/dsruSxkT

3. Blogs and Forums:

https://lnkd.in/dx6HYvBu

4. YouTube Channels:

https://lnkd.in/dwMNssEA

5. Data Science Q&A:

https://lnkd.in/dTzByZxb

6. Data Science Cheat Sheets:

https://lnkd.in/duTzGia6

Feel free to add anything I missed!

Happy learning! 📈💡