Description
Programming Language : Python, R, SPSS, MYSQL
Technology : Excel | Jupyter Notebook | Google Analytics | Google Data Studio | SAS
Data Visualisation : Tableau | KNIME |Power BI
Analysis Type : Quantative Aanlysis , Qualitative Analysis, Statical Analyis, Descriptive Analysis, Impact Analysis
Measurable : Business Insight – Web Analytics – Experiment Design – Statics – Algorithm Prediction – Factor Analysis- Regression Testing-Time Series Analysis- Documentation
Tools : SmartPls |mplus | Minitab |Eviews
Revision: Unlimited
Delivery Time: 7 Days
Important Features:
- AI-Powered Analytics: Make more accurate projections and find hidden trends by utilizing artificial intelligence.
- Machine Learning Models: To improve decision-making, develop and apply unique machine learning algorithms.
- Advanced Data Visualization: To investigate intricate data linkages, create dynamic, interactive visuals.
- Real-Time Data Processing: Examine enormous data sets instantly to gain actionable insights.
- Data Governance & Compliance: Use the highest level of data security and compliance to guarantee conformity to industry requirements.
- Committed Data Support: For unique direction and planning, collaborate closely with skilled data scientists.
Get started converting your data into insights that you can use right now!
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