Data Analysis And Visualization With Python, Excel & Power Bi by Irtaza AhmedData Analysis And Visualization With Python, Excel & Power Bi by Irtaza Ahmed
Data Analysis And Visualization With Python, Excel & Power BiIrtaza Ahmed
Curious how your business data can uncover improvement opportunities, profitable sectors, and hidden losses? Don't let the sea of data overwhelm you; it's the key to answering pressing questions and making informed decisions about the future.
Curious about what lies beneath the surface of your data? My specialized skills in uncovering actionable insights drive decision-making and propel your business forward. Using cutting-edge techniques and state-of-the-art tools, I transform raw data into compelling visualizations that tell a story.
Imagine having the clarity to make informed decisions confidently. Unlock the full potential of data and gain a competitive edge in your industry. Let's turn data challenges into opportunities for growth.
My Services:
Data Cleaning and Preprocessing
Descriptive and Exploratory Data Analysis
Powerful Visualizations Using Tableau & Power BI dashboards
SQL Querying from MySQL database
Data Mining
Interactive Dashboards
Statistical Analysis using Chi-Square Test & Hypothesis Testing
Multiple Regression Analysis
Don't let valuable opportunities slip away. Take charge of your data-driven decisions today. Contact now to unlock the power of data analysis and visualization for your business success!
What's included
In-depth Data Analysis
Unveiling insights, uncovering patterns, and identifying trends within your data.
Data Visualization With Interactive Dashboards
Creating dynamic data visualizations with interactive dashboards in Microsoft Power Bi, Excel and Tableau.
FAQs
It varies based on the task. For supervised learning tasks, I follow these steps: data cleaning, preprocessing, handling missing values, duplicates, outliers, data transformation, model creation, calculation of feature importance and finally data analysis.
The choice of visualization plots depends on the type of data being analyzed. I use bar plots for categorical or mixed data, scatter plots for continuous data, line plots for time series analysis, and histograms, Q-Q plots and bell curves for checking data distribution.
I use Microsoft Power Bi, Tableau, Excel and Python for data visualization and dashboard creation.
Some data preprocessing techniques I normally use are standardization, scaling, normalization, handling missing values, removing duplicates, identifying outliers, feature engineering, feature extraction, feature selection, & dimensionality reduction.
Yes, data transformation is a crucial step to ensure reliable analysis in most cases. I employ various advanced techniques, including square root, exponential, yeo-johnson power transformations, and rank transformation, to optimize your data for in-depth analysis.
It depends on the specific task. But some of the libraries that I normally use are numpy, pandas, sklearn, matplotlib, seaborn, plotly, tensorflow, keras & pytorch.
The choice of algorithm depends on the type of task at hand. I normally use support vector machines, k means clustering, k nearest neighbor, decision tree classifier, random forest classifier, convolutional neural networks, support vector regression & xgboost.
I use python for data preprocessing, data transformation, model development and data visualization.
Yes, I'm well-equipped to handle SQL queries.
I adapt my choice of IDE based on the project's needs. I typically switch between Google Colab, Jupyter Notebook, and Microsoft Visual Studio Code. Google Colab is particularly useful for deep learning tasks, while I prefer using VS Code for data modeling and deploying models.
Yes, I offer various data science services, including classification, regression, clustering, market basket analysis, text classification, text summarization, language translation, sentiment analysis, masked language modeling, next word prediction, image classification, and more.
Data Analysis And Visualization With Python, Excel & Power BiIrtaza Ahmed
Starting at$5 /hr
Tags
Microsoft Excel
Python
Tableau
Data Analyst
Data Modelling Analyst
Data Scientist
Curious how your business data can uncover improvement opportunities, profitable sectors, and hidden losses? Don't let the sea of data overwhelm you; it's the key to answering pressing questions and making informed decisions about the future.
Curious about what lies beneath the surface of your data? My specialized skills in uncovering actionable insights drive decision-making and propel your business forward. Using cutting-edge techniques and state-of-the-art tools, I transform raw data into compelling visualizations that tell a story.
Imagine having the clarity to make informed decisions confidently. Unlock the full potential of data and gain a competitive edge in your industry. Let's turn data challenges into opportunities for growth.
My Services:
Data Cleaning and Preprocessing
Descriptive and Exploratory Data Analysis
Powerful Visualizations Using Tableau & Power BI dashboards
SQL Querying from MySQL database
Data Mining
Interactive Dashboards
Statistical Analysis using Chi-Square Test & Hypothesis Testing
Multiple Regression Analysis
Don't let valuable opportunities slip away. Take charge of your data-driven decisions today. Contact now to unlock the power of data analysis and visualization for your business success!
What's included
In-depth Data Analysis
Unveiling insights, uncovering patterns, and identifying trends within your data.
Data Visualization With Interactive Dashboards
Creating dynamic data visualizations with interactive dashboards in Microsoft Power Bi, Excel and Tableau.
FAQs
It varies based on the task. For supervised learning tasks, I follow these steps: data cleaning, preprocessing, handling missing values, duplicates, outliers, data transformation, model creation, calculation of feature importance and finally data analysis.
The choice of visualization plots depends on the type of data being analyzed. I use bar plots for categorical or mixed data, scatter plots for continuous data, line plots for time series analysis, and histograms, Q-Q plots and bell curves for checking data distribution.
I use Microsoft Power Bi, Tableau, Excel and Python for data visualization and dashboard creation.
Some data preprocessing techniques I normally use are standardization, scaling, normalization, handling missing values, removing duplicates, identifying outliers, feature engineering, feature extraction, feature selection, & dimensionality reduction.
Yes, data transformation is a crucial step to ensure reliable analysis in most cases. I employ various advanced techniques, including square root, exponential, yeo-johnson power transformations, and rank transformation, to optimize your data for in-depth analysis.
It depends on the specific task. But some of the libraries that I normally use are numpy, pandas, sklearn, matplotlib, seaborn, plotly, tensorflow, keras & pytorch.
The choice of algorithm depends on the type of task at hand. I normally use support vector machines, k means clustering, k nearest neighbor, decision tree classifier, random forest classifier, convolutional neural networks, support vector regression & xgboost.
I use python for data preprocessing, data transformation, model development and data visualization.
Yes, I'm well-equipped to handle SQL queries.
I adapt my choice of IDE based on the project's needs. I typically switch between Google Colab, Jupyter Notebook, and Microsoft Visual Studio Code. Google Colab is particularly useful for deep learning tasks, while I prefer using VS Code for data modeling and deploying models.
Yes, I offer various data science services, including classification, regression, clustering, market basket analysis, text classification, text summarization, language translation, sentiment analysis, masked language modeling, next word prediction, image classification, and more.