Coursera.org

Hyperparameter Tuning with Neural Network Intelligence

Completed 7/12/2021

Concepts Learned

  • Create and run hyperparameter tuning experiments using NNI

Skills Gained

  • Deep Learning

  • Artificial Neural Network

  • Machine Learning

  • Auto-machine Learning

  • hyperparameter tuning

Exploratory Data Analysis with Python and Pandas

Completed 5/17/2021

Concepts Learned

  • Apply practical Exploratory Data Analysis (EDA) techniques on any tabular dataset using Python packages such as Pandas and Numpy

  • Produce data visualizations using Seaborn and Matplotlib

Skills Learned

  • Python Programming

  • Data Analysis

  • Pandas

  • Exploratory Data Analysis

  • EDA

Build Multilayer Perceptron Models with Keras

Completed 5/18/2021

Concepts Learned

  • Build and train a multilayer perceptron (MLP) with Keras

  • Perform topic classification with neural networks

Skills Learned

  • Data Science

  • Deep Learning

  • Machine Learning

  • Tensorflow

  • keras

Exploratory Data Analysis

Completed 7/12/2021

Concepts Learned

  • Understand the concept of Exploratory Data Analysis

  • Analyze trends, patterns, relationships in the data

  • Create visual methods to analyze the data

Skills Gained

  • Python Programming

  • Exploratory Data Analysis

  • EDA

Google Trends Analysis using R

Completed 8/19/2021

Concepts Learned

  • Get Google trends data into the RStudio workspace

  • Manipulate Google trends data using R libraries

  • Analyze Google trends data using R libraries

Skills Gained

  • Data Manipulation

  • Data Analysis

  • Ggplot2

  • dplyr

  • Data Visualization (DataViz)


Intro to Time Series Analysis in R

Completed 5/19/2021

Concepts Learned

  • Fit various types of time series models to real world data and use them to forecast the future.

  • Understand how to assess model fit in time series data.

  • Know the reasons why time series models and methodology are an important toolkit for any data scientist.

Skills Gained

  • Time Series Forecasting

  • Time Series

  • Time Series Models

  • Box Jenkins Method

  • Statistical Hypothesis Testing

Getting Started in Google Analytics

Completed 7/8/2021

Concepts Learned

  • Set up a Google Analytics account and add your website.

  • Understand how Google Analytics organizes data.

  • Interpret the Audience, Acquisition and Behavior reports.

Skills Gained

  • Search Engine Optimization (SEO)

  • Google Analytics

  • website performance

Getting Started in Google Apps Script

Completed 9/27/2021

Concepts Learned

  • Open Google Sheets and set up a workbook.

  • Create and execute a custom function in Google App Script.

  • Test and finalize the program created in Google Apps Script that will send weekly updates.

Skills Gained

  • Google Sheets

  • Email

  • Google Apps Script

  • JavaScript

  • Computer Programming

Mastering SQL Joins

Completed 5/12/2021

Concepts Learned

  • Retrieve desired result set using the different types of joins in SQL

  • Join more than two tables in a database using SQL Joins

Skills Gained

  • Data Management

  • Join (Sql)

  • Database Management Systems

  • Data Analysis

  • Postgresql

Introduction to Structured Query Language (SQL)

Completed 4/25/2021

Concepts Learned

  • Single table queries

  • Basic syntax

  • Database design with multiple tables

  • Foreign keys

  • JOIN operation

  • Many-to-many relationships

Skills Gained

  • Phpmyadmin

  • MySQL

  • Relational Database

  • SQL

  • Install XAMPP

  • Create a MySql database