Full Stack Data Scientist Course
What will I learn?
Enhance your Business Intelligence career with our Full Stack Data Scientist Course. You will learn the fundamentals of data processing, exploration, and machine learning model selection. You'll also learn how to understand the results, offer advice, and improve the models to work better. Study the ways to use retail analytics, inventory control, and marketing plans. With this course, you'll have the skills to turn plain data into important business choices at your own speed.
Apoia's Unique Features
Develop skills
Enhance your practical skills outlined below
Master data preprocessing: Clean, change, and code data well. (መማስተር ቅድመ-ተዳልዎ ዳታ: ምጽራይ፣ ምቕያር፣ ኮዳት ዳታ ብጽፈት።)
Explore data insights: Review retail variables and sales data effectively. (ምድህሳስ ኣስተውዓልታ ዳታ: ምግምጋም ተለዋወቲታት ሸቃጥን ዳታ ሸያጥ ብውጽኢታዊ ኣገባብ።)
Optimize models: Improve performance with hyperparameter adjustment ways. (ምምሕያሽ ሞዴላት: ምምሕያሽ ብቕዓት ብመንገዲ ኣገባባት ምጥዕዓን ልዕለ-መለክታት።)
Implement machine learning: Use neural networks, regression, and decision trees. (ምትግባር ማሽን መሃሪ: ምጥቃም ኒውራላዊ መርበባት፣ ተወሳኺ መስመራዊ ስሌት፣ ከምኡ'ውን ኣግራብ ውሳነ።)
Evaluate model accuracy: Use precision, recall, and F1-score metrics. (ግምጋም ርግጽነት ሞዴል: ምጥቃም ልክዕነት፣ ምዝኽኻር፣ ከምኡ'ውን መለክታት F1-ነጥቢ።)
Suggested summary
Workload: between 4 and 360 hours
Before starting, you can change chapters and workload.
- Choose which chapter to start with
- Add or remove chapters
- Increase or decrease the course workload
Examples of chapters you can add
You will be able to generate more chapters like the examples below
This is a free course, focused on personal and professional development. It is not equivalent to a technical, undergraduate, or postgraduate course, but offers practical and relevant knowledge for your professional journey.