Trainity-Projects

To check projects, open respective folders read ReadMe file or you can also download DOCX/PDF/IPYNB/XLSX files.

These are the topics and tech stacks that heve been covered/learned while doing 8 projects.

1) Exploratory Data Analysis

Segment the dataset and draw unique insights, including visualisation and assessing the effect of any outliers.

• DATA SEGMENTATION
• DATA CLEANING

2) Predictive Analytics

Explore correlations between customer attributes, build a regression and a decision-tree prediction model

• DATA VISUALISATION

3) Data Engineering

Using data engineering to combine data from multiple sources to create a data lake, analysts can use

• POSTGRES/SQL
• CRITICAL THINKING

4) Data Visualization

Use data to create a run chart and KPI (key performance indicators) tables based off of simulated data.

• BUSINESS INTELLIGENCE (BI)
• RUN CHART

5) Experimentation and uplift testing

Extend your analysis from to help you identify benchmark & set metrics.

• STATISTICAL TESTING
• DATA ANALYSIS

6) Feature Engineering

Uncovering signals within data

• BUSINESS UNDERSTANDING

7) Modeling & Evaluation

Modeling the problem and evaluating your model

• MODEL EVALUATION