Data_Analytics_Course

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Data_Analytics_Course

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This repository contains the data analytics lessons I took from the bootcamp between 5 Jan - 4 Aug 2022 and includes 48 sessions, 10 labs, 12 assignments, 12 weekly agendas, and 5 projects.

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## 📣 About this Data Analytics Course
This data analytics course is a 13-week program that includes more than **180+ hours** of in-class sessions and a bonus package of **54+ hours** of Career Management Services (CMS). Our specialty CMS activities for the Data Analytics program include sessions on life coaching, resume building, Linkedin training, and interview preparation support.

In addition to the curriculum, you will have the opportunity to practice what you have learned with **42 hands-on activities + 6 projects + an in-depth capstone project** at the end of the course. We provide the most intensive training in the IT bootcamp market to fully prepare our students for succesful careers!

## 📂 Course Structures

There are 5 certificates in this Data Analytics Career Path:

### 1. Data Analysis with Python

**Topics Covered:** Numpy, Pandas

This certificate is given to students who successfully completed the Data Analysis with Python Course in the Data Analytics Module after **36 hours** of intensive work. During the course, the student completed **2 assignments and one project**. They completed **50+ hours** of pre-class and post-class activities. During this course, students used many tools and methods such as: LMS (Learning Management System), Mentoring (Group & 1on1), LABs, Workshops, Teamworks, Kahoot, Flipgrid, Gamification, Peardeck, Zoom, Slack, etc. as well as the skills specified in the certificate.

### 2. Data Visualization with Python

**Topics Covered:** Matplotlib, Seaborn, Plotly

This certificate is given to students who successfully completed the Data Visualization with Python Course in the Data Analytics Module after **20 hours** of intensive work. During the course, the student completed **2 assignments and one project**. They completed **50+ hours** of pre-class and post-class activities. During this course, students used many tools and methods such as: LMS (Learning Management System), Mentoring (Group & 1on1), LABs, Workshops, Teamworks, Kahoot, Flipgrid, Peardeck, Zoom, Slack, etc. as well as the skills specified in the certificate.

### 3. Data Analysis with SQL

**Topics Covered:** Fundamentals of the Relational Database, Data Definition Language (DDL), Data Manipulation Language (DML), Functions, Joins & View, Advanced Grouping Operations, Set Operators, CASE Expression, Subqueries and CTE's, Window Functions, Indexes, DB Connection with Python, SQL Programming Basics.

This certificate is given to students who successfully completed Data Analysis with SQL Course in the Data Science Bootcamp after **27 hours** live in-class of intensive work. They also successfully completed **many challenging code hands-ons, 2 assignments, and a project**. They completed **50+ hours** of pre-class & post-class activities. During this course, students used many tools and methods such as: LMS (Learning Management System), Mentoring (Group & 1on1), LABs, Workshops, Teamworks, Kahoot, Flipgrid, Peardeck, Zoom, Slack, etc. as well as the skills specified in the certificate.

### 4. Statistics Basics

**Topics Covered:** Data Types & Patterns & Graphs, Central Tendency & Dispersion, Correlation & Normal Distribution, Central Limit Theorem & Confidence Intervals, Hypothesis Testing.

This certificate is given to students who successfully completed Statistics Course in the Data Science Bootcamp after **30 hours** live in-class of intensive work. They also successfully completed **many challenging code hands-ons, 5 assignments**. They completed **50+ hours** of pre-class & post-class activities. During this course, students used many tools and methods such as: LMS (Learning Management System), Mentoring (Group & 1on1), LABs, Workshops, Teamworks, Kahoot, Flipgrid, Peardeck, Zoom, Slack, etc. as well as the skills specified in the certificate.

### 5. Data Visualization with Tableau

**Topics Covered:** Introduction to Tableau, Visual Analytics, Combining Tables & Data, Calculations, Dashboards

This certificate is given to students who successfully completed Data Visualization with TABLEAU Course in the Data Science Bootcamp after **40 hours** live in-class of intensive work. They also successfully completed **many challenging code hands-ons, assignments, and 2 projects**. They completed **50+ hours** of pre-class & post-class activities. During this course, students used many tools and methods such as: LMS (Learning Management System), Mentoring (Group & 1on1), LABs, Workshops, Teamworks, Kahoot, Flipgrid, Peardeck, Zoom, Slack, etc. as well as the skills specified in the certificate.

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