Build Industry Ready Data Science Projects
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37 modules
English
Lifetime access
Master data science project building for industry success
Overview
This course teaches you how to build data science projects that meet industry standards and prepare you for real-world challenges. You will learn hands-on skills and best practices to create impactful projects that showcase your data science expertise.
Key Highlights
Learn to apply data science techniques in real-world projects
Gain hands-on experience working with industry datasets
Understand best practices for data cleaning and preprocessing
Develop skills in data visualization and storytelling
Create machine learning models for predictive analytics
Collaborate on team-based projects to simulate workplace scenarios
Receive feedback and guidance from experienced data science mentors
Build a professional portfolio to showcase your project work
What you will learn
Build Data Science Projects from Scratch
Learn to create data science projects from the ground up, starting from conceptualization and data collection to modeling and deployment.
Apply Advanced Data Science Techniques
Utilize advanced data science methods such as machine learning algorithms, data visualization, and statistical analysis in your projects.
Develop Industry-Ready Data Science Portfolios
Create a portfolio of data science projects that showcase your skills and expertise, making you stand out to potential employers.
Modules
Setting Up Enviornment
26 attachments • 2 hrs
00. Course Requirements
00. Docker Introduction - coursedl.org
00. Downloading necessary tools - coursedl.org
00. File Archival - coursedl.org
00. Git Introduction - coursedl.org
00. Introduction to Linux - coursedl.org
00. Introduction to MLflow - coursedl.org
00. Linux Commands Part1 - coursedl.org
00. Package Management - coursedl.org
00. Types of Account in Linux - coursedl.org
00. What is Ansible_ - coursedl.org
00. What is Kernel - coursedl.org
00. What is Kubernetes _ - coursedl.org
00. Course Requirements - coursedl.org
00. Docker Introduction - coursedl.org
00. Downloading necessary tools - coursedl.org
00. File Archival - coursedl.org
00. Git Introduction - coursedl.org
00. Introduction to Linux - coursedl.org
00. Introduction to MLflow - coursedl.org
00. Linux Commands Part1 - coursedl.org
00. Package Management - coursedl.org
00. Types of Account in Linux - coursedl.org
00. What is Ansible_ - coursedl.org
00. What is Kernel - coursedl.org
00. What is Kubernetes _ - coursedl.org
Chapter 1
15 attachments • 5 hrs
01. Day01 - INTRODUCTION - coursedl.org
01. File Compression - coursedl.org
01. Getting Started with Ansible - coursedl.org
01. Installation and first trial of MLflow - coursedl.org
01. Installing Ubuntu in Windows - coursedl.org
01. Introduction to Kubernetes - coursedl.org
01. Linux Commands Part2 - coursedl.org
01. Package Mangers & DPKG - coursedl.org
01. PyPI packages _ What you will learn - coursedl.org
01. Types of Kernel - coursedl.org
01. User Management - coursedl.org
01. What is Docker_ - coursedl.org
01. What is Linux - coursedl.org
01. What is Terraform and IaC - coursedl.org
01. What is Version Control_ - coursedl.org
Chapter 2
15 attachments • 6 hrs
02. Ansible Components - coursedl.org
02. Day02 - DATA SCIENCE LIFECYCLE - coursedl.org
02. Files and Patterns Search - coursedl.org
02. Group Management - coursedl.org
02. Important Pieces in Linux - coursedl.org
02. Installing AWS CLI - coursedl.org
02. Kubernetes Architecture - coursedl.org
02. Linux Commands Part3 - coursedl.org
02. Logging our simple ML model using - coursedl.org
02. Types of Version Control - coursedl.org
02. What is Shell - coursedl.org
02. What is SSH_ - coursedl.org
02. Why Docker_ - coursedl.org
02. Working with APT & APT GET - coursedl.org
02_Detailed_project_setup_of_python_project_in_VScode_coursedl_org
Chapter 3
15 attachments • 7 hrs
03. Ansible Concepts - coursedl.org
03. Apt-get Advanced Part 1 - coursedl.org
03. Benefits of Docker - coursedl.org
03. Create 1st functionality_ Rendering - coursedl.org
03. Day03- Git And Github Tutorials - coursedl.org
03. Features of Linux - coursedl.org
03. Files Access Controls - coursedl.org
03. Input Output Redirection - coursedl.org
03. Install minikube and kubectl - coursedl.org
03. Install SSH clients - coursedl.org
03. Installing Terraform CLI - coursedl.org
03. Linux Commands Part4 - coursedl.org
03. Simple ML model - coursedl.org
03. Types of Shell - coursedl.org
03. What is Git_ - coursedl.org
Chapter 4
15 attachments • 2 hrs
04. Ansible Controller Node Setup - coursedl.org
04. Apt-get Advanced Part 2 - coursedl.org
04. cat command usages - coursedl.org
04. Components - coursedl.org
04. Day04 DOCKER - coursedl.org
04. Evolution of Linux - coursedl.org
04. Exploring UI of MLflow - coursedl.org
04. Linux Boot Process - coursedl.org
04. Linux File Permissions - coursedl.org
04. Setting up SSH in Ubuntu VM - coursedl.org
04. Terraform Commands - coursedl.org
04. What is Container_ - coursedl.org
04. Why Git_ - coursedl.org
04. Working with Vi Editor - coursedl.org
04_Test_1st_functionality_Rendering_YouTube_video_in_Jupyter_Notebook
Chapter 5
13 attachments
05. Advanced Vi Editor Part 1 - coursedl.org
05. ConfigMap & Secret - coursedl.org
05. Containers vs VM - coursedl.org
05. Day05 DATA PIPELINE ARCHITECTURE (part-1) - coursedl.org
05. Differences between Windows and Linux - coursedl.org
05. File System - coursedl.org
05. Git Installation in Windows - coursedl.org
05. Modifying File Ownership - coursedl.org
05. More on Terraform Commands - coursedl.org
05. Packaging a project MLflow way - coursedl.org
05. Publish our tested python package on PyPI - coursedl.org
05. Setting Up passwordless SSH - coursedl.org
05. Why we need Ansible - coursedl.org
Chapter 6
10 attachments
06. Advanced Vi Editor Part 2 - coursedl.org
06. Containers vs Image - coursedl.org
06. Day05 DATA PIPELINE ARCHITECTURE (part-2) - coursedl.org
06. Git Installation in Linux - coursedl.org
06. Inventory in Ansible - coursedl.org
06. Run Levels in Linux - coursedl.org
06. Sudoers in Linux - coursedl.org
06. Terraform Workspaces - coursedl.org
06. Volumes - coursedl.org
06_Create_2nd_functionality_Rendering_reference_websites_in_Jupyter
Chapter 7
9 attachments
07. Connection Plugin in Ansible - coursedl.org
07. Cronjobs - coursedl.org
07. Day06 DATA PIPELINE CODE EXPLANATION - coursedl.org
07. Deployment & StatefulSet - coursedl.org
07. Docker Editions - coursedl.org
07. File types of Linux - coursedl.org
07. Git Setup - coursedl.org
07. Terraform Variables, Input and Output - coursedl.org
07_Test_&_release_2nd_functionality_Rendering_reference_websites
Chapter 8
8 attachments
08. Day07 SENSOR PROJECT SETUP - coursedl.org
08. Git Terminologies - coursedl.org
08. Modules in Ansible - coursedl.org
08. SCP - coursedl.org
08. Terraform TfVars and Autovars - coursedl.org
08. What Docker is not_ - coursedl.org
08. What is a Namespace_ - coursedl.org
08_Create_documentation_of_our_python_package_library_coursedl_org
Chapter 9
7 attachments
09. Important Terminologies - coursedl.org
09. Interacting with namespaces - coursedl.org
09. Managed Node in Ansible - coursedl.org
09. Repositories in GIT - coursedl.org
09. Special Permissions - coursedl.org
09. Terraform State and Statefiles - coursedl.org
09_Day_08_SENSOR_PROJECT_CODE_EXPLANATION_PART_1_coursedl_org
Chapter 10
7 attachments
10. Creating Repository - coursedl.org
10. Docker Setup in Windows - coursedl.org
10. Interacting with pods - coursedl.org
10. Setting Up Controller Node - coursedl.org
10. System tools - coursedl.org
10. Terraform Providers - coursedl.org
10_Day_09_SENSOR_PROJECT_CODE_EXPLANATION_PART_2_coursedl_org
Chapter 11
5 attachments
11. Ansible Ad Hoc Commands - coursedl.org
11. Checking Repository History - coursedl.org
11. Hard link and Soft link - coursedl.org
11. Launch EC2 using Terraform - coursedl.org
11_Day_10_SENSOR_PROJECT_CODE_EXPLANATION_PART_3_coursedl_org
Chapter 12
6 attachments
12. Aliasing in Linux - coursedl.org
12. Docker Setup in Mac - coursedl.org
12. Doing Commits - coursedl.org
12. Getting into Secrets - coursedl.org
12. Requirement Gathering - coursedl.org
12_Day_11_SENSOR_PROJECT_CODE_EXPLANATION_PART_4_DEPLOYMENT_coursedl
Chapter 13
6 attachments
13. Creating users in Multiple ways - coursedl.org
13. CronJob - coursedl.org
13. Docker Basic Commands part 1 - coursedl.org
13. git diff - coursedl.org
13. Installing Ansible on AWS EC2 - coursedl.org
13_Day_12_FINANCE_COMPLAINT_CODE_EXPLANATION_PART_1_coursedl_org
Chapter 14
5 attachments
14. Docker Basic Commands part 2 - coursedl.org
14. git restore - coursedl.org
14. Intro to root Inventory - coursedl.org
14. Working with CronJob - coursedl.org
14_Day_13_FINANCE_COMPLAINT_CODE_EXPLANATION_PART_2_coursedl_org
Chapter 15
5 attachments
15. Changing Ansible Default Inventory - coursedl.org
15. Docker Run Part 1 - coursedl.org
15. gitignore - coursedl.org
15. Replica Sets in Kubernetes - coursedl.org
15_Day_14_FINANCE_COMPLAINT_CODE_EXPLANATION_PART_3_coursedl_org
Chapter 16
4 attachments
16. Docker Run Part 2 - coursedl.org
16. More on Ansible Inventory - coursedl.org
16. Tagging - coursedl.org
16. Working with ReplicaSets - coursedl.org
Chapter 17
5 attachments
17. Branching - coursedl.org
17. Docker Images - coursedl.org
17. Group inside a Group in Ansible Inventory - coursedl.org
17. Node Selector - coursedl.org
17_Day_15_Finance_project_code_completion_part_2_coursedl_org
Chapter 18
5 attachments
18. Branching Practical - coursedl.org
18. Creating a Custom Inventory - coursedl.org
18. Creating a new image - coursedl.org
18. Day 16 Finance project deployment - coursedl.org
18. Working with NodeSelectors - coursedl.org
Chapter 19
5 attachments
19. Day 17 MLOPS LEVEL 2 ARCHITECTURE - coursedl.org
19. Environment variables - coursedl.org
19. Introduction to Ansible Playbooks - coursedl.org
19. Merging - coursedl.org
19. Taints and Tolarations - coursedl.org
Chapter 20
4 attachments
20. Commands & Entrypoints - coursedl.org
20. Creating Taint and Toleration - coursedl.org
20. Day 18 TERRAFORM CLOUD SETUP - coursedl.org
20. Merge Conflicts - coursedl.org
Chapter 21
4 attachments
21. Day 19 DEEP AUTHENTICATOR PART 1 - coursedl.org
21. Docker Compose - coursedl.org
21. Remote repository - coursedl.org
21. Statefull and Stateless App - coursedl.org
Chapter 22
4 attachments
22. Cloning Repository - coursedl.org
22. Day 20 face authenticator theory - coursedl.org
22. ServiceAccounts - coursedl.org
22. Voting Application Understanding - coursedl.org
Chapter 23
4 attachments
23. Day 21 DEEP AUTHENTICATOR PART 3 - coursedl.org
23. Docker Compose Versions - coursedl.org
23. Security Context in Kubernetes - coursedl.org
23. Working with Remote Repository - coursedl.org
Chapter 24
4 attachments
24. Docker Compose Networks - coursedl.org
24. Pushing to Remote Failed in GitHub - coursedl.org
24. Resource Requirement - coursedl.org
24_Day_22_Face_authenticator_deployment_and_infrastructure_setup
Chapter 25
4 attachments
25. Day 23 reverse image search engine - coursedl.org
25. Personal Access Token Setup in Windows - coursedl.org
25. Rediness Probe and Liveness Probe - coursedl.org
25. Voting Application with Docker Run - coursedl.org
Chapter 26
3 attachments
26. Creating Liveness and Readiness Probe - coursedl.org
26. Pull Request - coursedl.org
26_Day_24_Data_collection_part_of_the_project_coursedl_org
Chapter 27
2 attachments
27. git Fetch & Pull - coursedl.org
27_Day_25_search_engine_model_training_endpoint_part_1_coursedl
Chapter 28
2 attachments
28. Fork - coursedl.org
28_Day_25_search_engine_model_training_endpoint_part_2_coursedl
Chapter 29
2 attachments
29. Day 26 Model training - coursedl.org
29. Rebasing - coursedl.org
Chapter 30
2 attachments
30. Day 27 Search engine prediction - coursedl.org
30. Interactive Rebasing - coursedl.org
Chapter 31
2 attachments
31. Git Rewrite History - coursedl.org
31_Day_28_Course_recommendation_system_project_discussion_coursedl
Chapter 32
2 attachments
32. Git Rewrite History continued - coursedl.org
32_Day_29_General_discussion_about_data_science_interview_coursedl
Chapter 33
2 attachments
33. Day 30 Overview of Mlops tools - coursedl.org
33. Git Rewrite History continued - coursedl.org
Chapter 34
1 attachment
34. Cherry Picking - coursedl.org
Chapter 35
1 attachment
35. Modify Recent Commits - coursedl.org
Chapter 36
1 attachment
36. Git Revert - coursedl.org
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