Front-End Development

Section 1

Coding Basics: Intro to HTML Syntax

• The HTML, head, title, & body tags
• Headings, paragraphs, & lists
• The strong & em tags
• The doctype
• The lang attribute
• The meta tag & the unicode character set

Coding Links: Absolute & Relative URLs

• Anchor tags & hrefs
• Linking to other websites
• Linking to pages within a website
• Opening a link in a new browser window/tab

Adding Images

• The break tag
• The image tag & source attribute
• Using the width, height, & alt attributes
• Using horizontal rules

Intro to Cascading Style Sheets (CSS)

• The style tag
• Tag selectors
• The font-size, font-family, color, & line-height properties
• Hexadecimal color codes

Section 2

CSS Class Selectors

• The class attribute
• CSS class selectors
• The span tag
• CSS opacity

Div Tags, ID Selectors, & Basic Page Formatting

• Dividing up content with the div tag
• Assigning IDs to divs
• Setting width & max-width
• CSS background-color
• Adding padding inside a div
• Centering content
• CSS borders
• CSS shorthand & the DRY principle

Using Browser Developer Tools

• Opening the DevTools in Chrome
• Editing HTML in the DevTools Elements panel
• Enabling, disabling, & editing CSS in the DevTools
• Using DevTools to fine-tune your CSS
• Hexadecimal shorthand

HTML5 Semantic Elements & Validating HTML

• The outline algorithm
• The header, nav, aside, & footer elements
• Understanding articles & sections
• The main element
• The figure & figcaption elements
• Checking for errors: validating your code

Python Programming Language

Beginner Level

• Python Introduction
• Python Syntax
• Python Variables
• Python Strings
• Python Numbers
• Python Boolean
• Python Lists
• Python Tuples & Sets

• Python Dictionaries
• Python If...Else
• Python For Loop
• Python While Loop
• Python Functions
• Python Classes
• Python Inheritance
• Python Error Handling



Project 1

Intermediate Level

• Inheritance
• Recursion
• Multithreading
• Queues
• Sockets
• Database Programming
• Logging
• XML & JSON
• Regular Expressions



Project 2

Advanced Level

• List Comprehensions
• Mapping & Filtering
• Lambda Expressions
• Docstrings
• Magic Methods
• Decorators
• Generators
• Argument Parsing
• Encapsulation
• Type Hinting
• Design Patterns



Project 3

Back-End Engineering With Django

INTRODUCTION TO FRONT END

• Html
• CSS
• Javascript
• Bootstrap

INTRODUCTION TO DJANGO

• Features of Django
• Django web server
• Understanding Django environment
• A simple ‘Hello world’ application



Assignment: Basic Hello Web App

DISPLAYING HYPERLINKS - PROJECT

• Django architecture
• MVC and MTV
• Starting a project
• Django apps
• Activating our first app
• A view that displays a hyperlink
• Mapping the views to URLs
• Running our first app
• Improving the views using templates
• The improved templates
• Template inheritance
• Sending data from url to view
• Sending data from view to template



Basic: Projects

CREATING A WEBSITE - PROJECT

• Starting a project
• Creating an app inside the project
• Activating the app
• Converting the model into a table
• Examples for Fields in Models
• Basic data access using Django shell
• Saving objects into database
• Retrieving objects from database
• Modifying objects of database
• Sorting objects
• Filtering objects
• Deleting objects
• Making changes in the data model



Assignment: Creating website

CREATING ADMINISTRATION PANEL

• Using the admin interface
• Customizing the admin interface
• Adding users
• Data access and modification using admin panel
• Giving permissions to users



Assignment: Administration Interface Panel

CREATING FIRST PAGE OF OUR SITE

• The Django template system
• Template Inheritance
• Improving the website
• Adding background color for web pages
• Adding banner to the web site
• Adding background image in the web pages
• Storing and displaying images
• Adding users to our site
• Uploading the information by user
• Changing the administration interface title



Assignment: Improving Basic Website

DJANGO FORMS CREATION

• Forms basics
• Creating Contact Us form
• Form field examples



Assignment: Single Page Form

DJANGO's EMAIL FUNCTIONALITY

• Configuring email settings
• Sending emails with Django



Assignment: Building A Functional Email

DJANGO TEMPLATE LANGUAGE

• Django template tags
• If/else
• If/elif/else
• For
• Comments
• Filters
• Using templates to display data in the site



Assignment: Administration Interface Panel

CREATING FIRST PAGE OF OUR SITE

• The Django template system
• Template Inheritance
• Improving the website
• Adding background color for web pages
• Adding banner to the web site
• Adding background image in the web pages
• Storing and displaying images
• Adding users to our site
• Uploading the information by user
• Changing the administration interface title



Assignment: Improving Basic Website

INTEGRATING BOOTSTRAP INTO DJANGO

• Introduction to Bootstrap
• Creating tables
• Creating grids
• Creating carousels



Project

SESSIONS AND COOKIES

• Difference between session and cookie
• Creating sessions and cookies in Django



Project

USING OTHER DATABASES IN DJANGO

• Using SQLite
• Configuring MySQL database
• Working with MySQL in Django
• Configuring Oracle database
• Working with Oracle in Django



Project

Here are some common job roles that require Django skills:

Full-Stack Developer

Develop both the front-end and back-end of web applications using Django for server-side logic and handling databases.

Backend Developer

Focus on building and maintaining the back-end logic, APIs, and databases using Django to power web apps.

Web Developer

Build and maintain websites, often using Django for efficient development of web functionalities and frameworks.

Software Engineer

Work on a variety of software development projects, using Django to build scalable and secure web applications.

Data Scientist/Analyst

Use Django to build web applications that display and analyze data, often for visualizations and dashboards.

DevOps Engineer

Manage and automate deployment pipelines for Django applications, ensuring continuous integration and deployment.

Machine Learning Engineer

Use Django to deploy machine learning models and create APIs to interact with the models for real-world applications.

API Developer

Build and maintain APIs using Django REST Framework to enable communication between front-end and back-end systems.

E-commerce Developer

Develop and manage e-commerce platforms, using Django to handle product catalogs, payments, and customer management.

Technical Lead/Architect

Lead development teams to design and architect large-scale applications, often using Django for its reliability and scalability.

DJANGO RESTful API

• CRUD operations



Project

LIVE PROJECT IMPLEMENTATION

• Project life cycle
• Creating a functional website in Django



Project

Excel for Accountants

Using Lists in Excel

• List Layout
• Sorting Lists
• Sorting on One Key
• Sorting on Multiple Keys
• Unsorting a List
• Filtering Lists
• AutoFiltering Excel Lists
• Using AutoFilter Options
• Deciding to Use AutoFilter
• Using the Custom Criteria
• Using Advanced Filters Instead of AutoFilter
• Getting More from Advanced Filter



Project: Debt Schedule

Pivot Table

• Building Pivot Table
• Creating Multiple Row Fields
• Dealing with Subtotals
• Grouping Numeric Fields
• Too Much Information: The Data Cache
• What's in the Cache
• How the Cache Helps
• How the Cache Hurts
• Refreshing the Cache Automatically
• Using Named Ranges as Data Sources
• Creating a Named Range for an Aging Report
• Static and Dynamic Named Ranges
• Building and Refreshing a Pivot Table From a Dynamic Range



Project: General Entries / Income Statement I

Charting

• Standard Charts
• Pivot Charts
• Charts that Show Time Series
• Charting a Pivot Table's Clone
• Using the GetPivotData function
• Budget Variances Over Time
• Problems with a Two-dimensional User Interface
• Designing the Pivot Table and Pivot Chart



Project: Ledger / Balance Sheet I

Scenarios (What-If-analysis)

• Scenarios and Multiple Inputs
• Scenarios and Worksheets
• Creating Scenarios
• Defining an Implicit Intersection
• More Help from the Scenario Manager
• The Comments Box
• Protecting Scenarios
• Protected and Locked Cells
• Preventing Changes to Scenarios
• Miscellaneous Actions with Scenarios
• Grinding It Out with Goal Seek and Solver
• Using Goal Seek
• More Complicated Problems: Using the Solve



Project: Income Statement- II

Payment Functions

• Using a Function
• Using the Function Wizard
• Payment Functions
• PMT Function
• Positive and Negative Values
• PV Function
• FV Function
• NPER Function
• RATE Function
• IRR Function
• XIRR Function
• NPV Function
• XNPV Function
• MIRR Function
• PPMT Function
• EFFECT Function
• Formulas Financial Modeling
• VLOOKUP
• HLOOKUP
• XLOOKUP
• INDEX
• MATCH
• AGGREGATE
• ROUND
• EOMONTH
• EDATE
• WORKDAY
• IF
• TRIM
• SUMIFS
• 3D Formulas



Project: Loan Schedule / Statement Cashflow

Depreciation Functions

• Family of Depreciation Functions
• SLN Function
• Accelerated Depreciation
• SYD Function
• DB Function
• Supplying a Salvage Value
• DDB Function
• VDB Function
• AMORDEGRC Function
• AMORLINC Function

Project: Balance Sheet II

Tools For Accounting

• Built-in Lists / Custom Lists
• Macro Recorder (Recording, Running & Editing)
• Keyboard Shortcut / Add-ins (Web)
• Excel and Quickbooks
• Import Files (IIF)
• Profile List Import File
• Standard List Import File



Project: Trial Balance

Audit accounting worksheets

• Tracing cell precedents
• Tracing cell dependents
• Tracing cell errors
• Removing tracer arrows



Project:

How to setup customer database

• How to setup product database
• How to setup chart of account General entry
• How to prepare sales invoice
• How to prepare purchasing order
• How to prepare trial balance
• How to prepare profit & loss and balance sheet



Project:

Account setup

• Accounting setup
• Chart of account
• Double-entry system for assets and liabilities
• The Asset of stock
• Double entry system for expenses and revenues
• The effect of profit or loss on capital
• Setup General Journal
• General Journal Entry
• Editing General Journal item
• The sales journal
• The Purchases Journal



Project:

Sales

• Setup purchasing order
• Setup sales invoice
• Setup quotation
• Trial Balance



Project:

Profit & Loss accounts and balance sheet

• Setup Balance Sheet
• Setup Monthly Balance
• Protect your account system
• Setup Profit & Loss accounts



Project:

Excel for data analysis

Introduction

• Data manipulation
• Reading CSV, tabbed & fixed column data

Dates and time

• How to work with date in excel
• Formatting date
• Calculating the number of days
• Calculating years and months

Formula basics

• What is a cell reference?
• What is a formula?
• What is a function?
• How to enter a formula with cell references
• How to use addition in a formula
• How to use subtraction in a formula
• How to use multiplication in a formula
• How to use division in a formula
• How to use exponents in a formula
• The order of operations

Statistics

• How to use the COUNT function
• Using the COUNTIF function
• Using the SUM function
• How to use SUMIF
• How to use the AVERAGE function
• How to calculate the minimum and maximum value
• How to rank value with the RANK function

Formatting

• How to use number formatting in Excel
• How to use currency formatting in Excel
• How to use percentage formatting in Excel
• How to use fraction formatting in Excel

Lookups

• How to use VLOOKUP
• How to use XLOOKUP
• How to use VLOOKUP for approximate matches
• VLOOKUP vs Nested IFs
• Using the index function
• Using the match function
• How to use HLOOKUP

Pivot table

• What is a pivot table
• How to create a pivot table
• How to add fields to pivot tables
• How to rearrange fields in the pivot table
• How to adjust aggregate function in pivot table
• Styling pivot table
• How to add slicers
• How to filter pivot table
• How to sort pivot table
• How to group pivot table
• How to create a pivot chart
• How to change chart type
• How to work with pivot chart options
• How to filter pivot chart
• Pivot chart

Excel chart

• How to create a basic chart
• How to move and resize a chart in Excel
• How to create a standalone chart
• How to edit and add to chart data
• How to add a title and legend to a chart

Working with data and lists

• How to freeze rows
• How to quickly sort using one column in Excel
• How to sort using more than one column
• How to filter a list
• How to filter with multiple criteria

References

• Relative references
• Absolute reference
• Creating a reference to another sheet

Conditional formatting in Excel

• Using the if function
• How to create a formula with nested IFs



Project: Adidas Dashboard / Excel Slicer Dashboard

Working with Text

• How to join values with an ampersand
• How to join cell values with concatenating
• How to clean text with trim
• How to count characters
• Changing case in Excel
• How to extract text



Project: Mcdonald Dashboard / Sales & Product Dashboard

Excel for Financial Analysis

Financial Modeling

• Flexibility, accuracy, and User-friendliness
• Structural standards
• Circular errors, the #REF! problem and Iteration
• Factual, rational and Structural checks
• Proofreading and Model Stress Testing



Project: Dynamic Personal Finance Budget Tracker

Functions of Financial Modeling

• Counting and summing functions
• SUM; SUMIF; SUMPRODUCT
• COUNT; COUNTA; COUNTBLANK
• COUNTIF and IF functions
• ROUND; ROUNDUP; ROUNDDOWN
• CEILING; FLOOR; INT
• TRUNC; MOD
• HLOOKUP; VLOOKUP
• Discounting on uneven periods: NPV; XNPV; IRP; XIRP
• Validation of data; Text to column
• Pivot tables, what if analysis and data tables
• Scenario and sensitivity analysis



Project: Comparable Companies Valuation

Modeling for Financial and Operational Planning

• Repayment of debt
• Seniority of debt obligations modeling
• Book and tax depreciation and modeling deferred tax
• Asset sales modeling
• Liability/asset



Project: Sensitive and Scenario Analysis

Credit Perspective

• Capital structure
• Leverage ratios
• Interest coverage
• Working capital
• Operating results
• Liquidity ratios



Project: Automated Budget Tracker

Capital Structures Analysis

• Debt existing
• Bank Revolver
• Long-Term Debt
• Preferred Stock
• Book Capitalization
• Total Debt
• Book Equity
• Base of Borrowing
• Debt Revolver



Project: Capital Budgeting Analysis

Valuation Models using Discounted Cash Flow Analysis

• Firms’ free cash flow
• Free cash flow to equity
• Single stage and multistage models
• Financial analysis principles using VPN, IRP, PBP and other measures
• Analysis of discounted cash flow
• Relative valuation
• Hybrid of relative evaluation and DCF
• Reality check on results
• Statistical Analysis



Project: Stock Portfolio Tracker

Income Statement and Statement of Financial Position

• Review of Source Data
• Introduction to Income Statement
• Building the Income Statement Output Sheet
• Populating the Income Statement
• Introduction to Statement of Financial Position



Project: Startup Financial Model

Forecast Layout and Calculation

• Adding a Forecast Period to the Income Statement
• Calculating Historical Percentage Ratios Income Statement
• Building a flexible model with Scenario Manager (VLOOKUP) Income Statement
• Adding a Forecast Period for the Statement of Financial Position
• Forecasting DSO, DPO, DIO, other Assets & other Liabilities
• Building Forecasting Schedule and Cash Flow Statement
• Financial Analysis - What-if-Analysis (Statistics and Data Analysis)
• Data Table, Goal Seek, Scenario Manager



Project: Dynamic Sales Dashboard

Working with external data

• Exporting and importing data
• Exporting and importing XML file
• Importing data from databases
• Connections to a database or an XML file
• Analyzing data online - Web Query



Project: Ledger / Balance Sheet

Search and data

• Search and matching
• Functions MATCH (MATCH) and INDEX (INDEX)
• Advanced management of lists of values
• Validate the value entered in the cell
• Database Functions
• Summary data by using the histogram
• Circular references - Practical Aspects



Project: Data-Analysis-Projects-Portfolio

Analytical issues

• Option Goal Seek
• The Analysis ToolPack addition
• Scenarios, Scenario Manager
• Solver and optimization data
• Macros and create your own functions
• Starting and recording macros
• Working with VBA code



Project: Personal-Financial-Analysis-DB (Expenses Tracker)

Securities

• The rate of profit
• Profitability
• Investing in securities and risk measures



Project: Client-Financial-Analysis

SQL for database manipulation

Introduction to SQL

• What is SQL?
• Create Table Statement
• ALTER TABLE Statements
• Rename Columns of a Table
• Modify Column DataType
• Drop Columns from Table
• Rename Tables
• Drop Tables
• What is Null Value?/li>

SQL Joins

• Inner Join
• Left Join
• Right Join
• SQL Operators
• BETWEEN
• IN
• LIKE
• INTERSECT
• MINUS
• UNION
• DISTINCT
• ANY, SOME
• ALL

DML Statements

• Insert Statement
• Update Statement
• Delete Statement
• Truncate Statement
• Merge Statement

SQL Operators

• BETWEEN
• IN
• LIKE
• INTERSECT
• MINUS
• UNION
• DISTINCT

SQL Functions

• AVG()
• COUNT()
• MAX()
• MIN()
• SUM()

Select Queries

• Select Query
• WHERE Clause
• GROUP BY Clause
• HAVING Clause
• ORDER BY Clause

Project: Design a database for a social network

Personal task: Design a database for a school management system

Key takeaway: Ability to design and create a database

Implement the database design

Perform CRUD operation

Power BI for Business Intelligence

Introduction to PowerBI

• What is PowerBI?
• Installing Power BI
• Desktop
• Adjusting Settings in
• PowerBI

Data Analysis Expressions (DAX)

• Introduction
• DAX Calculated Columns
• DAX Measures
• Adding Columns & DAX Measures
• Implicit vs. Explicit DAX Measures
• Filter Context Examples in Power BI
• Understanding DAX Syntax & Operators
• Common DAX Function
• Date & Time Functions
• Conditional & Logical Functions (IF/AND/OR)
• Common Text Functions
• Joining Data with RELATED
• Basic Math & Stats Functions
• COUNT Functions (COUNTA, DISTINCTCOUNT, COUNTROWS)
• CALCULATE, ALL & FILTER
• Iterator Functions (SUMX, RANKX)
• DAX Best Practices

Connecting and shaping data

• Types of Data Connectors
• The Power BI Query Editor (Power Query)
• Basic Table Transformations
• Working with Numerical Values
• Working with Date & Time Tools
• Generating Index & Conditional Columns
• Grouping & Aggregating Records
• Merging Queries in
• Power BI Desktop
• Appending Queries
• Configuring Data Source Settings
• Defining Hierarchies
• Power BI Data Connection Best Practices

Table relationship and data model

• What is a “Data Model”?
• Principles of Database Normalization
• Understanding Data Tables vs. Lookup Tables
• Understanding Table
• Relationships vs. Merged Tables
• Creating Table Relationships
• Managing & Editing Table Relationships
• Connecting Multiple Data Tables
• Hiding Fields from the
• Power BI Report View
• Power BI Data Model Best Practices

Data Visualization and report

• Introduction
• Exploring the “Report”
• Adding Simple Objects to the Power BI Report Canvas
• Inserting Basic Charts & Visuals in Power BI
• Conditional Formatting
• Report Formatting Options
• Report Filtering Options
• Exploring Data with Matrix Visuals
• Filtering with Date Slicers
• Inserting Text Cards
• Visualizing Geospatial Data with Maps
• Visualizing Data with Treemaps
• Artificial Intelligence in PowerBI

Project: Designing Coca-Cola dashboard




Key takeaway:Ability to understand how to use PowerBI to learn data,
build relationships between tables and create visualization and reports

Python Programming / Data Science

Introduction to python

• What is Python?
• Installing Python
• Setting up VSCode for Python
• Python fundamentals
• Python Syntax
• Variables
• Input and output
• comments

Operators

• Arithmetic Operators
• Assignment operators
• Comparison Operators
• Membership
• Control flow
• if…elif
• type Conversion

Data types

• Strings
• String properties
• Indexing and slicing
• String methods
• Numbers
• Boolean

Loops

• for Loop
• while Loop
• For in loop

Python lists

• Introduction to Lists
• Sorting a List
• Slicing a List
• Unpacking a List
• Iterating over a List
• Finding Index of an Element: index()

Python Functions

• Inbuilt function
• User-defined function
• Default Parameters
• Keyword Arguments
• Lambda Expressions
• Function Docstrings
• The *args Parameters
• The **kwargs Parameters
• Transform List Elements: map()
• Filtering List Elements: filter()
• Reducing List Elements: reduce()
• List Comprehensions

Tuple

• Indexing tuple elements
• Unpacking Tuples
• Type Conversion

Working with Files

• Reading a Text File
• Writing to a Text File
• Creating a Text File

Python dictionary

• Introduction to dictionary
• Nested dictionary
• Dictionary methods
• Indexing dictionary items
• Updating dictionary items
• Dictionary Comprehension

Modules

• Benefits of using modules
• Python packages
• Using the OS module

Python Set

• Set Comprehension
• Union of Sets
• Intersection of Sets
• Difference between Sets
• Symmetric Difference of Sets
• Subset
• Superset
• Disjoint Sets

Personal tasks: Create a function that can process data

Key takeaway: Understand python programming and be able to translate concepts into pseudo-code
and program which can be applied to analyze data

Numpy for array manipulation

Introduction to Numpy

• What is Numpy?
• Array Creation
• Indexing numpy array
• Slicing in NumPy
• Data Type Objects
• Iterating Over Array
• Mathematical Function
• String Operations
• Sorting, Searching and Counting



Project: Netflix Content Recommendation System

Statistical Function

• Minimum and
• maximum value
• Percentile
• Median
• Standard deviation
• Variance
• Average

Random sampling

• randint() function
• random_sample()
• function
• ranf() function



Project: Facebook Ad Targeting

Key takeaway:Understand how to work with multi-dimensional array
and integrate numpy with other libraries like Pandas and Matplotlib

Pandas for data analytics

Introduction to Pandas

• Importing pandas libary
• Creating a Pandas Series
• Creating a Pandas DataFrame



Project: Walmart Customer Behaviour Analysis

Grouping and merging data

• Grouping data
• Merging data
• Joining data
• Concatenating data
• Working with date and time
• Working with text data

Pandas Methods

• Describe and info methods
• Head and tail method
• Apply method
• Unique and nunique method
• Sorting values
• Counting values
• Replacing values
• Deleting values
• Largest and lowest values



Project: Fake News Detecting System

Reading files

• Read CSV files
• Reading excel file
• Reading HTML tables from websites

Manipulating data

• Dealing with Rows and Columns in Pandas
• Extracting rows
• Indexing and Selecting Data
• Conditional filtering
• Handling missing data



Project: Predicting Possible Loan Default Using Machine Learning

Project: Analyzing covid19 data




Key takeaway: Ability to clean and analyze different types of data

Matplotlib for visualization

Introduction to Matplotlib

• Overview of Matplotlib
• Importing matplotlib
• Plotting your first graph

Creating Different Types of Plots

• Line Graph
• Bar chart
• Histograms
• Scatter Plot
• Pie Chart
• 3D Plots
• Customizing Plots



Project: Amazon: Predictive Analytics for Inventory Management

Adjusting graph

• Figure Class
• Axes Class
• Setting Limits and Tick labels
• Multiple Plots
• What is a Legend?



Project: Google: Search Engine Optimization

Project: Grade student results and plot a graph to visualize it.




Key takeaway: Being able to plot and style different types of graph

Seaborn for visualization

Introduction to Seaborn

• Importing seaborn
• Using Seaborn with Matplotlib
• Plotting graph using seaborn

Distribution Plots

• Histogram
• Distplot
• Pairplot
• Rugplot



Project: Tesla: Autonomous Driving

Big Data Technologies

• Hadoop Ecosystem
• HDFS
• MapReduce
• Apache Spark
• Spark MLlib
• Spark Streaming
• Spark Core
• Spark SQL



Project: Airbnb: Price Optimization

Hadoop & Spark

• Basics of Big Data and Hadoop
• Techniques for Data Ingestion and ETL Processes
• Data Handling with Spark SQL
• In-depth Learning of Apache Spark
• Machine Learning with Spark MLLib

Data Engineering

• ETL (Extract, Transform, Load)
• ETL tools (e.g., Apache NiFi, Talend)
• Data Pipelines
• Building data pipelines
• Orchestration tools (e.g., Apache Airflow)



Project: Uber: Dynamic Pricing

Advanced Topics

• Time Series Analysis
• ARIMA models
• Prophet
• Reinforcement Learning
• Basics of reinforcement learning
• Q-learning
• Deep Q-Networks (DQNs)

Creating Different Types of Plots

Relational Plots

• Scatter Plot
• Line Plot

Categorical Plots

• Bar Plot
• Count Plot
• Box Plot

Key takeaway: Understand how to create
models and reinforcement learning

Data Visualizations Using
Plotly and Dash

Building Basic Charts with Plotly

• Introducing Plotly
• Offline Plots
• Online Plots
• Line Charts
• Pie Charts
• Bar Charts
• Histograms
• Inset Plots
• Box Plots
• Scatter Plots
• Heatmaps



Project: IBM: Watson for Healthcare

Plotting Statistical and Financial Data with Plotly

• Bubble Charts
• Bubble Maps
• Heatmaps
• Time Series
• Introducing Candlestick Charts
• Candlestick Charts
• SVG Path Specification
• Shapes
• Introducing Funnel Charts
• Funnel Charts

Building Advanced Plots with Plotly

• Gantt Charts
• Introducing Sankey Diagrams
• Sankey Diagrams
• 3D Scatter Plot
• 3D Surface Plot
• Animations

Project: Build complex and vivid visualizations
using data from the real world.

Dash Core Components

• Using drowdown and slider components
• Uploading CSV, XLS, and images
• Working with Dash layouts
• Converting Plotly plots to dashboards
• Using callbacks
• Working with inputs and outputs



Project: Microsoft: Azure Machine Learning Services

Dash Dashboards

• Pulling API data
• Building a binance dashboard
• Connecting Dash components
• Using alpha vantage
• Cleaning data
• Controlling callbacks
• Updating graphs
• Working with layout updating

Deployment

Working with app authorization

Deploying with Heroku

Machine Learning with Scikit-Learn—Full Course

Machine learning concepts

• What is machine learning?
• Different types of machine learning
• General pipeline
• The predictive modeling pipeline
• Tabular data exploration
• Fitting a scikit-learn model on numerical data
• Handling categorical data
• Plotting a graph
• Identifying features and labels
• Saving and opening a model
• Classification
• Train / test split
• What is KNN?
• What is SVM?
• Linear regression



Beginner Project: Image Compression with K-Means Clustering /
Predict Sales Revenue

Selecting the best model

• Overfitting and underfitting
• Validation and learning curves
• Bias versus variance trade-off
• Intuition on various models
• Linear models
• Tree-based models
• Machine learning best practices
• Data hygiene
• Correct evaluation
• How to keep your machine learning project organised
• Logistic vs linear regression
• KMeans
• Neural networks
• Overfitting and underfitting
• Backpropagation
• Cost function and gradient descent
• CNNs
• Implementing a handwritten digits recognizer



Intermidiate Project: Perform Sentiment Analysis /
Predict Employee Turnover




Project: Microsoft: Azure Machine Learning Services