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Laioffer人工智能与数据科学强化课程AI & Data Engineering

2022-04-29 14,612
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#独家
Laioffer人工智能与数据科学强化课程AI & Data Engineering

2022-04-29 人工智能 14,612
郑重承诺丨好课吧提供安全交易、信息保真!
¥ 0 钻石 此资源仅限终身VIP下载 升级VIP VIP活动仅需49起
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详情介绍

Laioffer人工智能与数据科学强化课程课程介绍:

北美码农培训bittiger和来offer哪个好?bittiger主打知识分享,讲课为辅,课程多但比较短,laioffer时间比较长,一般都是三个月起,价格贵,更加专业做职业培训的.但价格不能代表授课水平,不过能长期存在不是没有道理的.

课程目录:

1.

Machine Learning Model & Python Fundamentals

You will learn the foundamentals of Data Science including Python basics, linear data structures and search algorithms, and traditional machine learning models.

Frequency: 1 month, 5 sessions/week, 2-3 hrs/session

Week 1

Introduction of Data Science
Fundamentals of Probability
[Coding] Python Basics 1 variable and syntax
Week 2

[Coding] Python Basics 2 function and class
Linear Regression & Logistic Regression I
[Coding] Python Basics 3 base data structure
[Coding] Python Binary Search
Logistic Regression II & Regularization
Week 3

[Coding] Python Array Basic Sorting
Model Evaluation
[Coding] Python LinkedList and Recursion I
[Coding] Python LinkedList & Recrusion I cont
Nonlinear Models I
Week 4

[Coding] Python Practice
Nonlinear Models II & Feature Selection
[Coding] Python Advanced Sorting and Practice
[Coding] Python Review
PCA & Unsupervised Learning

2.

Statistics Essentials & Python Essentials

You will learn Python, data structure and algorithms, improve Coding skills, and enhance your knowledge of mathematical statistics, probability and so on.

Frequency: 3 weeks, 5 sessions/week, 2-3 hrs/session

Week 5

Data Manipulation in Python 1
[Coding] Python Queue and Stack
[Coding] Python Advanced Sorting and Practice
Data Manipulation in Python 2
[Coding] Python Review
[Coding] Python Review
[Coding] Exam 1
Week 6

Machine Learning Project 1 – Customer Churn Prediction
[Coding] Python Binary Tree
[Coding] Recursion II – recursion on tree
Machine Learning Project 2 – NLP and Topic Modeling
[Coding] Python Practice
Week 7

Introduction to statistics
[Coding] Python Binary Search Tree
[Coding] Python review
Resume and Interview Preparation I
Resume and Interview Preparation II
A/B testing 1
[Coding] Python Heap
A/B testing 2
Week 8

A/B testing 3
[Coding] Python Review
A/B testing 4
Inference in regression
Week 9

[Coding] String I
SQL I
[Coding] Recursion III DFS
[Coding] Recursion III DFS cont
SQL II

3.

Review of Typical OA & Resumes

You will study typical Online Assessment, and enter resume review sessions.

Frequency: 2 week, 5 sessions/week, 2-3 hrs/session

Week 10

[Coding] Exam 2
SQL III
Stats review
[Coding] Probability, Sampling, Randomization
Resume and interview preparation
Career guide: BA vs DS
Online Assessment – deep dive 1
Online Assessment – deep dive 2

4.

Through 4+ Case Studies and Data Challenges, you will enhance your business analytics, case studies, SQL and Python skills and get ready for business analyst positions.

Frequency: 1 month, 4 sessions/week, 2-3 hrs/session

Week 11

BA track introduction
BA track mock interview
[Coding-for-BA] Queue, Stack
Week 12

eCommerce deep dive 1: System design
eCommerce deep dive 2: Data driven marketing
eCommerce deep dive 3: Data lab
[Coding-for-BA] HashTable
Week 13

eCommerce deep dive 4: Data lab
Data visualization In Tableau
Data visualization in Python
[Coding-for-BA] String practice
Week 14

Case study deep dive 1
Case study deep dive 2
Case study deep dive 3
Anomaly Detection 1
Week 15

Anomaly Detection 2
Anomaly Detection 3
Supply chain data 1
Supply chain data 2
Week 16

Review of BA/DA track

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