Forwarded from Tomas
π€EARN YOUR $100 TODAY! EASY!
Lisa Trader has launched a free marathon on her VIP channel.
Now absolutely everyone can earn from trading. It has become even easier to earn in the cryptocurrency market, you can start today!
WHAT DO YOU NEED TO START?
1. Subscribe to the channel SIGNALS BY LISA TRADER π.
2. Write βMARATHONβ in private messages. She will then tell you how to get on the vip channel for absolutely FREE!
πCLICK HEREπ
πCLICK HEREπ
πCLICK HEREπ
Lisa Trader has launched a free marathon on her VIP channel.
Now absolutely everyone can earn from trading. It has become even easier to earn in the cryptocurrency market, you can start today!
WHAT DO YOU NEED TO START?
1. Subscribe to the channel SIGNALS BY LISA TRADER π.
2. Write βMARATHONβ in private messages. She will then tell you how to get on the vip channel for absolutely FREE!
πCLICK HEREπ
πCLICK HEREπ
πCLICK HEREπ
β€3π1
Please open Telegram to view this post
VIEW IN TELEGRAM
π18β€2
Forwarded from Machine Learning with Python
πHow to make $15,000 in a month in 2024?
Easy!!! Lisa is now the hippest trader who is showing crazy results in the market!
She was able to make over $15,000 in the last month! βοΈ
Right now she has started a marathon on her channel and is running it absolutely free. π‘
To participate in the marathon, you will need to :
1. Subscribe to the channel SIGNALS BY LISA TRADER π
2. Write in private messages : βMarathonβ and start participating!
πCLICK HEREπ
Easy!!! Lisa is now the hippest trader who is showing crazy results in the market!
She was able to make over $15,000 in the last month! βοΈ
Right now she has started a marathon on her channel and is running it absolutely free. π‘
To participate in the marathon, you will need to :
1. Subscribe to the channel SIGNALS BY LISA TRADER π
2. Write in private messages : βMarathonβ and start participating!
πCLICK HEREπ
β€1π1
Hereβs a roadmap to get you started, step-by-step!
(Don't forget to bookmark for later!!
#SQL #ROADMAP
https://t.me/Ebooks2023
Please open Telegram to view this post
VIEW IN TELEGRAM
π5
Forwarded from Machine Learning with Python
LOOKING FOR A NEW SOURCE OF INCOME?
Average earnings from 100$ a day
Lisa is looking for people who want to earn money. If you are responsible, motivated and want to change your life. Welcome to her channel.
WHAT YOU NEED TO WORK:
1. phone or computer
2. Free 15-20 minutes a day
3. desire to earn
βοΈ Requires 20 people βοΈ
Access is available at the link below
π
https://t.me/+EWM2hR1d_As0ZDA5
Average earnings from 100$ a day
Lisa is looking for people who want to earn money. If you are responsible, motivated and want to change your life. Welcome to her channel.
WHAT YOU NEED TO WORK:
1. phone or computer
2. Free 15-20 minutes a day
3. desire to earn
βοΈ Requires 20 people βοΈ
Access is available at the link below
π
https://t.me/+EWM2hR1d_As0ZDA5
π1π1
Forwarded from Machine Learning with Python
Free Certification Courses to Learn Data Analytics in 2025:
1. Python
π https://imp.i384100.net/5gmXXo
2. SQL
π https://edx.org/learn/relational-databases/stanford-university-databases-relational-databases-and-sql
3. Statistics and R
π https://edx.org/learn/r-programming/harvard-university-statistics-and-r
4. Data Science: R Basics
πhttps://edx.org/learn/r-programming/harvard-university-data-science-r-basics
5. Excel and PowerBI
π https://learn.microsoft.com/en-gb/training/paths/modern-analytics/
6. Data Science: Visualization
πhttps://edx.org/learn/data-visualization/harvard-university-data-science-visualization
7. Data Science: Machine Learning
πhttps://edx.org/learn/machine-learning/harvard-university-data-science-machine-learning
8. R
πhttps://imp.i384100.net/rQqomy
9. Tableau
πhttps://imp.i384100.net/MmW9b3
10. PowerBI
π https://lnkd.in/dpmnthEA
11. Data Science: Productivity Tools
π https://lnkd.in/dGhPYg6N
12. Data Science: Probability
πhttps://mygreatlearning.com/academy/learn-for-free/courses/probability-for-data-science
13. Mathematics
πhttp://matlabacademy.mathworks.com
14. Statistics
π https://lnkd.in/df6qksMB
15. Data Visualization
πhttps://imp.i384100.net/k0X6vx
16. Machine Learning
π https://imp.i384100.net/nLbkN9
17. Deep Learning
π https://imp.i384100.net/R5aPOR
18. Data Science: Linear Regression
πhttps://pll.harvard.edu/course/data-science-linear-regression/2023-10
19. Data Science: Wrangling
πhttps://edx.org/learn/data-science/harvard-university-data-science-wrangling
20. Linear Algebra
π https://pll.harvard.edu/course/data-analysis-life-sciences-2-introduction-linear-models-and-matrix-algebra
21. Probability
π https://pll.harvard.edu/course/data-science-probability
22. Introduction to Linear Models and Matrix Algebra
πhttps://edx.org/learn/linear-algebra/harvard-university-introduction-to-linear-models-and-matrix-algebra
23. Data Science: Capstone
π https://edx.org/learn/data-science/harvard-university-data-science-capstone
24. Data Analysis
π https://pll.harvard.edu/course/data-analysis-life-sciences-4-high-dimensional-data-analysis
25. IBM Data Science Professional Certificate
https://imp.i384100.net/9gxbbY
26. Neural Networks and Deep Learning
https://imp.i384100.net/DKrLn2
27. Supervised Machine Learning: Regression and Classification
https://imp.i384100.net/g1KJEA
#DataAnalytics #Python #SQL #RProgramming #DataScience #MachineLearning #DeepLearning #Statistics #DataVisualization #PowerBI #Tableau #LinearRegression #Probability #DataWrangling #Excel #AI #ArtificialIntelligence #BigData #DataAnalysis #NeuralNetworks #SupervisedLearning #IBMDataScience #FreeCourses #Certification #LearnDataScience
1. Python
π https://imp.i384100.net/5gmXXo
2. SQL
π https://edx.org/learn/relational-databases/stanford-university-databases-relational-databases-and-sql
3. Statistics and R
π https://edx.org/learn/r-programming/harvard-university-statistics-and-r
4. Data Science: R Basics
πhttps://edx.org/learn/r-programming/harvard-university-data-science-r-basics
5. Excel and PowerBI
π https://learn.microsoft.com/en-gb/training/paths/modern-analytics/
6. Data Science: Visualization
πhttps://edx.org/learn/data-visualization/harvard-university-data-science-visualization
7. Data Science: Machine Learning
πhttps://edx.org/learn/machine-learning/harvard-university-data-science-machine-learning
8. R
πhttps://imp.i384100.net/rQqomy
9. Tableau
πhttps://imp.i384100.net/MmW9b3
10. PowerBI
π https://lnkd.in/dpmnthEA
11. Data Science: Productivity Tools
π https://lnkd.in/dGhPYg6N
12. Data Science: Probability
πhttps://mygreatlearning.com/academy/learn-for-free/courses/probability-for-data-science
13. Mathematics
πhttp://matlabacademy.mathworks.com
14. Statistics
π https://lnkd.in/df6qksMB
15. Data Visualization
πhttps://imp.i384100.net/k0X6vx
16. Machine Learning
π https://imp.i384100.net/nLbkN9
17. Deep Learning
π https://imp.i384100.net/R5aPOR
18. Data Science: Linear Regression
πhttps://pll.harvard.edu/course/data-science-linear-regression/2023-10
19. Data Science: Wrangling
πhttps://edx.org/learn/data-science/harvard-university-data-science-wrangling
20. Linear Algebra
π https://pll.harvard.edu/course/data-analysis-life-sciences-2-introduction-linear-models-and-matrix-algebra
21. Probability
π https://pll.harvard.edu/course/data-science-probability
22. Introduction to Linear Models and Matrix Algebra
πhttps://edx.org/learn/linear-algebra/harvard-university-introduction-to-linear-models-and-matrix-algebra
23. Data Science: Capstone
π https://edx.org/learn/data-science/harvard-university-data-science-capstone
24. Data Analysis
π https://pll.harvard.edu/course/data-analysis-life-sciences-4-high-dimensional-data-analysis
25. IBM Data Science Professional Certificate
https://imp.i384100.net/9gxbbY
26. Neural Networks and Deep Learning
https://imp.i384100.net/DKrLn2
27. Supervised Machine Learning: Regression and Classification
https://imp.i384100.net/g1KJEA
#DataAnalytics #Python #SQL #RProgramming #DataScience #MachineLearning #DeepLearning #Statistics #DataVisualization #PowerBI #Tableau #LinearRegression #Probability #DataWrangling #Excel #AI #ArtificialIntelligence #BigData #DataAnalysis #NeuralNetworks #SupervisedLearning #IBMDataScience #FreeCourses #Certification #LearnDataScience
π3β€1π₯1
π4