Course Content
Day-2: How to use VScode (an IDE) for Python?
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Day-3: Basics of Python Programming
This section will train you for Python programming language
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Day-4: Data Visualization and Jupyter Notebooks
You will learn basics of Data Visualization and jupyter notebooks in this section.
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Day-5: MarkDown language
You will learn whole MarkDown Language in this section.
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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.
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Day-11: Data Visualization in Python
We will learn about Data Visualization in Python in details.
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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.
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Day-15: Data Wrangling Techniques (Beginner to Pro)
Data Wrangling in python
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Day-26: How to use Conda Environments?
We are going to learn conda environments and their use in this section
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Day-37: Time Series Analysis
In this Section we will learn doing Time Series Analysis in Python.
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Day-38: NLP (Natural Language Processing)
In this section we learn basics of NLP
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Day-39: git and github
We will learn about git and github
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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.
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Python ka Chilla for Data Science (40 Days of Python for Data Science)
    Join the conversation
    QAMAR ZAMAN 2 months ago
    done
    Reply
    shafiq ahmed 8 months ago
    descriptive
    Reply
    komal Baloch 8 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.
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    komal Baloch 8 months ago
    done
    Reply
    Muhammad Ali Raza 9 months ago
    Done
    Reply
    Shadat Ali 9 months ago
    Al Saal sy aap ki videos dakh raha hon murshid ji
    Reply
    Shadat Ali 9 months ago
    Murshid tusi Kamal ho
    Reply
    Saman Fatima 9 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 9 months ago
    SUBHAN ALLAH Murshad, Stay blessed always
    Reply
    Muhammad Shahzad 9 months ago
    Excellent job I done الحمد للہ
    Reply