1. Home
  2. Detail

@indah_masula:

Masulain_dah
Masulain_dah
Open In TikTok:
Region: ID
Wednesday 07 October 2026 08:19:07 GMT
1229
68
0
3

Music

Download

No Watermark .mp4 (0.9MB) No Watermark(HD) .mp4 (0.9MB) Watermark .mp4 (0MB) Music .mp3

Comments

There are no more comments for this video.
To see more videos from user @indah_masula, please go to the Tikwm homepage.

Other Videos

#afrique #drole #fyp #mood #africa
#afrique #drole #fyp #mood #africa
Chân ái tẩy trang nhỏ gọn, tiện mang đi mọi nơi #Shopee #noidungduoctaitro #Hichiidaily
Chân ái tẩy trang nhỏ gọn, tiện mang đi mọi nơi #Shopee #noidungduoctaitro #Hichiidaily
pls ip18 pro max 1TB
pls ip18 pro max 1TB


Destroying Como🔜 // #napoli #sscnapoli #fyp #como #viral // Editor: @ae.bali
Destroying Como🔜 // #napoli #sscnapoli #fyp #como #viral // Editor: @ae.bali
🚀 Want to become a Data Scientist or Data Analyst in 2026–27? Here’s the step-by-step roadmap to follow for skills, tools, and career growth: 1️⃣ Foundations • Math: Statistics & Probability • Python or R for coding • SQL & Databases 2️⃣ Data Manipulation & Visualization • Pandas, NumPy, Matplotlib, Seaborn • Excel + Power BI/Tableau 3️⃣ Machine Learning & AI • Regression, Classification, Clustering • Neural Networks basics • Practical projects on real datasets 4️⃣ Advanced Skills • Deep Learning, NLP, Time-Series Forecasting • Big Data tools: Spark, Hadoop • Cloud Platforms: AWS, GCP 5️⃣ Soft Skills & Career • Problem-solving & business understanding • GitHub portfolio + Kaggle competitions • Resume & Interview preparation 💬 Comment Question (Boost Engagement): Which stage are you currently at? A) Beginner – Learning Python & SQL B) Intermediate – ML & Visualization C) Advanced – Deep Learning & Projects 👇 Comment your letter and I’ll reply with tips to level up! #creatorsearchinsights #datascience #dataanalysis #machinelearning #ai
🚀 Want to become a Data Scientist or Data Analyst in 2026–27? Here’s the step-by-step roadmap to follow for skills, tools, and career growth: 1️⃣ Foundations • Math: Statistics & Probability • Python or R for coding • SQL & Databases 2️⃣ Data Manipulation & Visualization • Pandas, NumPy, Matplotlib, Seaborn • Excel + Power BI/Tableau 3️⃣ Machine Learning & AI • Regression, Classification, Clustering • Neural Networks basics • Practical projects on real datasets 4️⃣ Advanced Skills • Deep Learning, NLP, Time-Series Forecasting • Big Data tools: Spark, Hadoop • Cloud Platforms: AWS, GCP 5️⃣ Soft Skills & Career • Problem-solving & business understanding • GitHub portfolio + Kaggle competitions • Resume & Interview preparation 💬 Comment Question (Boost Engagement): Which stage are you currently at? A) Beginner – Learning Python & SQL B) Intermediate – ML & Visualization C) Advanced – Deep Learning & Projects 👇 Comment your letter and I’ll reply with tips to level up! #creatorsearchinsights #datascience #dataanalysis #machinelearning #ai

About

Legal