Top Tweets for #ConsistencyProjectWithWIDA
Consistency is key, and with DataCamp, I'm able to stay on track and make progress towards my goals.
#DataAnalytics #LearningJourney #ConsistencyProjectWithWIDA #AtomicHabits
- DataCamp: My absolute favorite DataCamp offers interactive courses, exercises, and projects that help me track my skills and stay motivated.
What I love about DataCamp:
- Personalized learning tracks
- Hands-on exercises and projects
- Ability to track my progress and skills.
Day 96✍
Here, I practiced summarizing and validating my data, performing data cleaning and imputation operations, exploring relationships between variables, and turning the results of the EDA into action.
#Pythonista
#consistencyprojectwithWiDA
Day 94✍
1% daily✅. Something on combining txt files for data preprocessing.
#Pythonista
#consistencyprojectwithWiDA
Day 94✍
1% daily✅. Something on combining txt files for data preprocessing.
#Pythonista
#consistencyprojectwithWiDA
Day 93✍
I learned something handy today.
Imagine that in your survey data on the 'What is your favorite fruit section?' there are responses on the word "banana," such as: Bananna, Bannana, Bananaa, Bananna.
How do you handle these misspellings?
#Pythonista
🧵
Day 91✍
In this course, I practiced using iterators with dictionaries & to load large files into memory. I learned to use list comprehensions and generator expressions for loading data line by line,which is suitable for streaming data.
#Pythonista
#consistencyprojectwithWiDA
Day 89✍
Hi #datafam, I found insights in the 2018–2019 EPL season data through exploratory data analysis using Python. Among other questions, I explored whether a team's red card count influences its chances of winning a game.
Find the full project 👇
https://t.co/5Ai7QYwgYX
Day 88✍
Hi #datafam,
I recently completed a project using Python to explore and answer several questions related to Nobel Prize historical data (from 1901 to 2023).
You can check it out here:
https://t.co/TRdfUEvyyT
#Pythonista
#consistencyprojectwithWiDA
Day 87✍️
In the Python Data Science Toolbox course, I learned to create functions with default (*args) and flexible (**kwargs) arguments,utilize lambda functions for quick function creation, & manage errors with try and except statements.
#Pythonista
#consistencyprojectwithWiDA
Day 86✍️
Project in progress...
Visualizing the History of Noble Prize winners on @Datacamp workspace.
#Pythonista
#consistencyprojectwithWiDA
Day 85✍️
In this course, "Introduction to Data Visualization with Matplotlib" via @DataCamp, I practiced statistical plotting using error bars on visualizations, preparing my figures for sharing, and how to automate figures from my data.
#Pythonista
#consistencyprojectwithWiDA
Day 85✍️
In this course, "Introduction to Data Visualization with Matplotlib" via @DataCamp, I practiced statistical plotting using error bars on visualizations, preparing my figures for sharing, and how to automate figures from my data.
#Pythonista
#consistencyprojectwithWiDA
Day 84✍️
My notes on data visualisation with Matplotlib👇.
I explored using small multiples to prevent too much data on a plot. I learned how to plot time series data with different variables using twin axes.
#Pythonista
#consistencyprojectwithWiDA
Day 84✍️
My notes on data visualisation with Matplotlib👇.
I explored using small multiples to prevent too much data on a plot. I learned how to plot time series data with different variables using twin axes.
#Pythonista
#consistencyprojectwithWiDA
Day 83✍️
In this course,I gradually understood how to carry out probability distributions using Python. I also learned how to perform transformations on non-linear relationships to calculate the correlation coefficient between variables.
#Pythonista
#consistencyprojectwithWiDA
Day 82✍️
I started "Introduction to statistics for python" on @DataCamp. Measures of center✅, measures of dispersion✅, measures of chance and probability distributions.........more work to be done✍️
#Pythonista
#consistencyprojectwithWiDA
Day 81✍️
Python feels fun. I like that I can see what I am doing as I go, and that the script runs line by line😇.
First data project in python is underway😇.
#Pythonista
#consistencyprojectwithWiDA
Day 81✍️
Python feels fun. I like that I can see what I am doing as I go, and that the script runs line by line😇.
First data project in python is underway😇.
#Pythonista
#consistencyprojectwithWiDA
Day 80✍️
Practicing all I have learnt so far through this project👇.
#Pythonista
#consistencyprojectwithWiDA
Day 80✍️
Practicing all I have learnt so far through this project👇.
#Pythonista
#consistencyprojectwithWiDA
Day 79✍️
In this course, I practiced merging tables with different join types,replicating filtering joins (semi & anti-joins)—Pandas doesn't yet provide direct support for them—and verifying data integrity. I had fun while doing this😇.
#Pythonista
#consistencyprojectwithWiDA
Day 79✍️
In this course, I practiced merging tables with different join types,replicating filtering joins (semi & anti-joins)—Pandas doesn't yet provide direct support for them—and verifying data integrity. I had fun while doing this😇.
#Pythonista
#consistencyprojectwithWiDA
Day 78✍️
Part of this course focused on creating dataframes from dictionaries and CSV files, visualizing data using Matplotlib for exploratory data analysis, identifying and handling missing values in dataframes.
Unto the next one😇.
#Pythonista
#consistencyprojectwithWiDA
Day 78✍️
Part of this course focused on creating dataframes from dictionaries and CSV files, visualizing data using Matplotlib for exploratory data analysis, identifying and handling missing values in dataframes.
Unto the next one😇.
#Pythonista
#consistencyprojectwithWiDA
Day 77✍️
Today, I started "Data Manipulation in Pandas" on @DataCamp where so far I have practiced sorting, subsetting, slicing and indexing on dataframes, created pivot tables, and used summary statistics functions.
#Pythonista
#consistencyprojectwithWiDA
Day 77✍️
Today, I started "Data Manipulation in Pandas" on @DataCamp where so far I have practiced sorting, subsetting, slicing and indexing on dataframes, created pivot tables, and used summary statistics functions.
#Pythonista
#consistencyprojectwithWiDA
Day 76✍️
On @DataCamp, I learned about conditional statements (if, elif, else). The most interesting part of the course for me was the loops. In practice, I used the while and for loops to iterate over all kinds of data structures.
#Pythonista
#consistencyprojectwithWiDA
Day 76✍️
On @DataCamp, I learned about conditional statements (if, elif, else). The most interesting part of the course for me was the loops. In practice, I used the while and for loops to iterate over all kinds of data structures.
#Pythonista
#consistencyprojectwithWiDA
Day 75✍️
The results from comparison operators is often a boolean.
The boolean operators are and, or, & not. For numpy arrays, it works differently, using logical_and(), logical_or(), and logical_not(), instead of the aforementioned.
#Pythonista
#consistencyprojectwithWiDA
Day 75✍️
The results from comparison operators is often a boolean.
The boolean operators are and, or, & not. For numpy arrays, it works differently, using logical_and(), logical_or(), and logical_not(), instead of the aforementioned.
#Pythonista
#consistencyprojectwithWiDA
Day 74✍️
Whoa, what a day🥱.
I enjoyed learning about dictionaries and the Pandas package (for working on rectangular data structures) today. I learned how to index and select data using square brackets, loc, and iloc.
#Pythonista
#consistencyprojectwithWiDA
Day 74✍️
Whoa, what a day🥱.
I enjoyed learning about dictionaries and the Pandas package (for working on rectangular data structures) today. I learned how to index and select data using square brackets, loc, and iloc.
#Pythonista
#consistencyprojectwithWiDA
Day 73✍️
I just completed "Introduction to Python" by @DataCamp. In this course, I was introduced to python data types and objects as well as the Numpy package for arrays and numerical analysis.
#Pythonista
#consistencyprojectwithWiDA
Day 73✍️
I just completed "Introduction to Python" by @DataCamp. In this course, I was introduced to python data types and objects as well as the Numpy package for arrays and numerical analysis.
#Pythonista
#consistencyprojectwithWiDA
Day 72✍️
Today, I learned about lists as a Python data type. Lists are created using [ ] and can house elements of varying data types. Lists work by using indexing.
I practiced slicing & subsetting lists, changing, adding, and removing list elements.
#consistencyprojectwithWiDA
![IgbokeHannah's tweet photo. Day 72✍️
Today, I learned about lists as a Python data type. Lists are created using [ ] and can house elements of varying data types. Lists work by using indexing.
I practiced slicing & subsetting lists, changing, adding, and removing list elements.
#consistencyprojectwithWiDA https://t.co/vLwAmf0elu](https://pbs.twimg.com/media/GDli8xRWUAA4dOb.png)
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