Data Analysis And Visualization With Python, Excel & Power Bi
Irtaza Ahmed
Starting at
$
5
/hrAbout this service
Summary
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:
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!
FAQs
What's your data analysis technique?
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.
Which visualization plots do you normally use?
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.
Which softwares do you use for data visualization?
I use Microsoft Power Bi, Tableau, Excel and Python for data visualization and dashboard creation.
Which data preprocessing techniques do you use?
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.
Do you perform data transformation?
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.
Which libraries do you normally use?
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.
Which machine learning algorithms do you use?
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.
Which programming languages do you use?
I use python for data preprocessing, data transformation, model development and data visualization.
Do you know SQL?
Yes, I'm well-equipped to handle SQL queries.
Which IDE do you use?
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.
Do you provide data science services?
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.
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.
Skills and tools
Industries
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