Skip to content

Latest commit

 

History

11 Commits

Folders and files

NameName
Last commit message
Last commit date
 
 
 
 

Repository files navigation

LogBook

Monday, August 21st 2023

Read the Material on coursera about Google IT Automation (Crash Course on Python) week 1:

  • Introduction to Programming
  • Introduction to Python
  • Hello Wold
  • Modul Review
  • Week 1 Graded Assessment

Week 2:

  • Expressions and Variables

Tuesday, August 22nd 2023
Read the Material on coursera about Google IT Automation (Crash Course on Python) week 2:

  • Function
  • Conditional
  • Modul Review
  • Complete the Week 2 Graded Assessment

06.30-08.30 pm : ILT-Softskill ILT-SS-01-BT Growth Mindset and The Power of Feedback

  • understand the difference between Growth Mindset and Fixed Mindset
  • Implement the practical action of
  • Understand how to give and receive constructive feedback

Wednesday, August 23rd 2023
Read the Material on coursera about Google IT Automation (Crash Course on Python) Week 3:

  • Loop ( While Loops, For Loops)
  • Module Review
  • complete the Week 3 Graded Assessment

Thursday, August 24th 2023
Read the Material on coursera about Google IT Automation (Crash Course on Python) Week 4:

  • String (Advanced String Methods, String Formatting, etc)
  • List (Modifying Lists, Tuples, Iterating over Lists and Tuples, Lists Operations and Methods, etc)
  • Dictionary (Dictionary Methods, iterating over dictionaries, dictionaries vs Lists, etc)
  • Module Review
  • complete the Week 4 Graded Assessment

Friday, August 25th 2023
08.00-09.00 am :Weekly Consultation 1 - ML-36 with Mentor

  • get to know with friends members of Ml-36 and mentor
  • Bangkit Overview
  • QnA

Read the Material on coursera about Google IT Automation (Using Python to Interact with OS) week 1:

  • Gettting Familiar with the Operating System and Computer ready for python

  • setting up environment on windows

  • How to run python script

  • IDE

  • Automation Tasks through Programming

    week 2:

    • Reading and Writing Files
    • Managing Files and Directories
    • Reading and Writing CSV Files
    • Qwiklabs
    • Qwiklabs Assesment : Handling Files

    week 3 & week 4 (on Saturday) week 5 & week 6 (on Sunday)

Monday, August 28th 2023
Read the Material on coursera about Google IT Automation (Using Python to Interact with OS) Week 7:

  • Final Projects Qwiklabs Assessment : Log Analysis Using Regular Expressions

Read the Material on coursera about Google IT Automation (Introduction to GIt and Github) Week 1:

  • Practical Applocation Diffing Files and patch
  • Introduction to Version Control Systems
  • What is Git dan How to install git on windows
  • Using Git (Tracking Files, The basic of Git Workflow, Commit Message
  • Qwiklabs Assesment : Introduction to Git

Tuesday, August 29th 2023
Read the Material on coursera about Google IT Automation (Introduction to GIt and Github) Week 2:

  • Advanced Git interaction (staging area, deleting and renaming files)
  • Undoing Things
  • Branching and Merging
  • Qwiklabs Assesment : Merging Branches in Git

Week 3:

  • Introduction to Github
  • Using a Remote Repository
  • Solving Conflicts
  • Qwiklabs Assesment : Introduction to Github

Wednesday, August 30th 2023
Read the Material on coursera about Google IT Automation (Introduction to GIt and Github) Week 4

  • Pull Requests
  • Code Reviews
  • Managing Projects
  • Qwiklabs Assesment : Pushing Local Commits to Github

6.30 - 8.30 pm ILT-ML-01-BA Introducction to Python and Git/GitHub

  • Introduction to Python (Data Types, Functions, Conditionals, Loop, Data Structure)
  • Introduction to Git & GitHub (Undoing Things, Branchings, etc)

Thursday, August 31st 2023
Do Assignment : Growth Mindset and The Power of Feedback

  • List down 3 fixed Mindset statements i have towards yourself
  • turn that into 3 statements of growth mindset
  • 5 reasons of the situatuon to understand myself better , why i develop such mindset
  • 3 challenges to turn my fixed mindset into growth mindset and explain my plan to overcome those challenges

Read the Material on coursera about Google Data Analytics (Data, Data, Everywhere) Week 1:

  • Get Started : Think about data in daily life and Introduction to the course
  • Transforming data into insights
  • Understanding the data ecosystem ( what is data ecosystem, Data and gut instinct, data analysis process)
  • Learning Log : How data analysts approach tasks
  • Weekly Challenge 1

Friday, September 1st 2023
8.00:9.00 a.m : Weekly Consultation 2 - ML - 36

  • reminder from mentor about everything
  • sharing about capstone project
  • QnA
  • Fun games

Read the Material on coursera about Google Data Analytics (Data, Data, Everywhere) Week 2:

  • Embrace data analyst skills
  • Thinking about data analytical thinking (processes of analytical thinking : curiosity, understanding context, having a technical mindset, data design, data strategy)
  • Learning Log : Reflect on skills and expectations)
  • Thinking about outcomes
  • Weekly Challenge 2

Week 3:

  • follow the data life cycle (Stage of the data life cycle : Plan, Capture, Manage, Analyze, Archive, Destroy)
  • Outlining the data analysis process (six phase of data analysis : ask, prepare, process, analyze, share, act)
  • The data Analyst tool : Spreadsheet, SQL, Tableu, R Programming
  • Self-Reflection : Reviewing past concepts)
  • Weekly Challenge 3

Monday, September 4th 2023
Read the Material on coursera about Google Data Analytics (Data, Data, Everywhere) Week 4 :

  • Mastering spreadsheet basics
  • Structured Query Language (SQL)
  • Data Visualization
  • Weekly Challenge 4

Week 5 :

  • Data Analyst Job Opportunities
  • The Importance of fair Business and decisions
  • Exploring Data Analyst roles and JOb Descriptions
  • Weekly Challenge 5
  • Course challenge

Read the material of Pre-Reading Articles Module 2 - Time Management

Tuesday, September 5th 2023
Read the Material on coursera about Google Data Analytics (Ask Questions to Make Data-Driven Decisions) Week 1:

  • Problem-solving and effective questioning
  • Take Action with Data
  • Solve Problems with data
  • Craft effective questions (SMART : Specific, Measurable, Action-oriented, Relevant, Time-bound)
  • Weekly Challenge 1

Week 2:

  • Understand the power of Data (Quantitative and Qualitative Data)
  • Follow the evidence (Data vs Metrics)
  • Connecting the data dots (Mathematical Thinking)
  • Weekly Challenge 2

ILT-SS-02-BT Time Management 6:30-8.30 pm

  • What is Time Managemnet and why is it important
  • factors why it is difficult to manage time
  • 4 Quadrants of Time Management
  • Disciplined in Real Life
  • Busy vs Productive
  • Monotasking vs Multitasking

Wednesday, September 6th 2023
Read the Material on coursera about Google Data Analytics (Ask Questions to Make Data-Driven Decisions) Week 3:

  • Working with spreadsheets
  • Formulas in spreadsheets
  • Functions in spreadsheets
  • Save time with structured thinking
  • Weekly Challenge 3

Week 4:

  • Balance team and stakeholder needs
  • Tips for Effective communication (Communication is key)
  • Amazing Teamwork
  • Weekly Challenge 4
  • Course Challenge

Thursday, September 7th 2023
Read the Material on coursera about Google Data Analytics (Prepare Data for Exploration) Week 1:

  • Data Exploration
  • Collecting Data
  • Differentiate between data formats and structures
  • Explore data types, fields, and values
  • Weekly Challenge 1

Week 2:

  • Biased and Unbiased data
  • Explore data credibility
  • Data ethics and privacy
  • Understanding open data
  • Weekly Challenge 2

Friday, September 8th 2023
8:00-9:00 am Weekly Consultation 3 ML-36

  • Next Week Milestone (reminder from mentor about everything)
  • QnA
  • Sharing

Read the Material on coursera about Google Data Analytics (Prepare Data for Exploration) Week 3:

  • Working with database (Primary and Foreign Keys)
  • Managing data with metadata
  • Accessing different data sources (Importing data from spreadsheet and database, Exploring public datasets)
  • Sorting and filtering (Hands-On Activity)
  • Working with large datasets in SQL (Using BigQuery)
  • Weekly Challenge 3

Week 4:

  • Effectively organize data (All about file naming)
  • Securing data
  • Weekly Challenge 4

Week 5:

  • Engaging in the data community
  • Course Challenge

About

No description, website, or topics provided.

Resources

Stars

0 stars

Watchers

1 watching

Forks

Releases

Packages

Contributors