Data Analyst
College Program

Foundations of Data Science

Python Basics

Operators, Expressions

Control Structures

Introduction to NumPy

Introduction to Pandas

Data cleaning techniques

Data wrangling and transformations

Matplotlib for visualizing data

Seaborn for visualizing data

Histograms, Scatter plots, Box plots

Introduction to interactive dashboards using Plotly

Introduction to databases

Basic queries, operators and functions

Data Types, Primary key, Foreign key, Joins

Group by with Having, Aggregate functions

Overview of ML algorithms

Classification, Regression

Clustering, Anomaly detection and metrics.

Introduction to scikit-learn library

Linear Regression and Logistic Regression

Classification Algorithms

Clustering

Dimensionality Reduction (PCA)

Overview of Perceptron

Activation Functions

Mathematical Foundation

CNN, RNN, LSTM

NLTK, SPaCy

Tokenization

Word Embedding’s

Practical Implementation

Extracting, transforming, and loading data.

Building and managing data flow systems.

Data Pipeline Orchestration, Automation

Data Warehouses and Data Lakes