Course Content
Day-2: How to use VScode (an IDE) for Python?
0/1
Day-3: Basics of Python Programming
This section will train you for Python programming language
0/4
Day-4: Data Visualization and Jupyter Notebooks
You will learn basics of Data Visualization and jupyter notebooks in this section.
0/1
Day-5: MarkDown language
You will learn whole MarkDown Language in this section.
0/1
Day-10: Data Wrangling and Data Visualization
Data Wrangling and Visualization is an important part of Exploratory Data Analysis, and we are going to learn this.
0/1
Day-11: Data Visualization in Python
We will learn about Data Visualization in Python in details.
0/2
Day-12,13: Exploratory Data Analysis (EDA)
EDA stands for Exploratory Data Analysis. It refers to the initial investigation and analysis of data to understand the key properties and patterns within the dataset.
0/2
Day-15: Data Wrangling Techniques (Beginner to Pro)
Data Wrangling in python
0/1
Day-26: How to use Conda Environments?
We are going to learn conda environments and their use in this section
0/1
Day-37: Time Series Analysis
In this Section we will learn doing Time Series Analysis in Python.
0/2
Day-38: NLP (Natural Language Processing)
In this section we learn basics of NLP
0/2
Day-39: git and github
We will learn about git and github
0/1
Day-40: Prompt Engineering (ChatGPT for Social Media Handling)
Social media per activae rehna hi sab kuch hy, is main ap ko wohi training milay ge.
0/1
Python ka Chilla for Data Science (40 Days of Python for Data Science)
    Join the conversation
    QAMAR ZAMAN 3 months ago
    done
    Reply
    shafiq ahmed 9 months ago
    descriptive
    Reply
    komal Baloch 10 months ago
    Descriptive Statistics: -The mean (average) age of the survey respondents was 35 years. -The median income for the sample group was $50,000 per year. -The standard deviation of test scores was 10 points, indicating a relatively wide spread of results. -The range of temperatures recorded over a week ranged from a low of 40°F to a high of 90°F. -The mode of transportation most commonly used by commuters was the subway. -The interquartile range (IQR) for the dataset suggests that the middle 50% of values are fairly tightly clustered. -The data set for product sales showed a positively skewed distribution. -90% of the survey participants reported being satisfied with the new company policy. -The coefficient of variation for a dataset of investment returns indicated a high level of risk. -The distribution of student grades in the class appeared to be normally distributed with a slight skew towards higher grades.Inferential Statistics: -A t-test revealed that there was a statistically significant difference in the mean test scores between the two groups. -A chi-square test indicated a significant association between smoking and the development of lung cancer. -A regression analysis suggested a strong positive relationship between advertising spending and sales revenue. -An analysis of variance (ANOVA) showed that there were significant differences in the performance of different teaching methods. -With a confidence level of 95%, we can estimate that the population mean income falls within a certain range. -A Pearson correlation coefficient of 0.80 suggests a strong positive linear relationship between two variables. -A hypothesis test found that there was not enough evidence to support the claim of a new drug's effectiveness. -Using a Monte Carlo simulation, we estimated the probability of a stock portfolio losing value in a given year. -A logistic regression model was used to predict the likelihood of customer churn based on several independent variables. -A Bayesian analysis was conducted to update the probability of a rare event occurring, given new evidence and prior beliefs.
    Reply
    komal Baloch 10 months ago
    done
    Reply
    Muhammad Ali Raza 10 months ago
    Done
    Reply
    Shadat Ali 10 months ago
    Al Saal sy aap ki videos dakh raha hon murshid ji
    Reply
    Shadat Ali 10 months ago
    Murshid tusi Kamal ho
    Reply
    Saman Fatima 10 months ago
    whole number === 0,1,2,3,4 Natural number ===1,2,3,4 decimal or continouse numbers === 0.1,0.2,0.3 Ratio interval === 100,200,300,400 integer ===== -3,-2-1,0,+1,+2,+3
    Reply
    Syed Abdul Qadir Gilani 10 months ago
    SUBHAN ALLAH Murshad, Stay blessed always
    Reply
    Muhammad Shahzad 10 months ago
    Excellent job I done الحمد للہ
    Reply