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Why Take This Nanodegree Program?

We built this program with an expert team of working Blockchain Developers, to ensure a hands-on learning experience that prioritizes job readiness. This is the most comprehensive curriculum available for learning the fundamental skills, tooling, mindset, and security best practices that are essential to becoming a Blockchain Developer.

Blockchain demand is booming and the market is expected to grow at over 60% per year.

Why should you choose us?

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Built by Working Blockchain Developers

Advance your skills with curriculum developed by professionals working in the field, and featuring top industry experts including Balaji Srinivasan, David Jonston and Aaron Brown
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Consistent and Supportive Feedback

Advance your skills with curriculum developed by professionals working in the field, and featuring top industry experts including Balaji Srinivasan, David Jonston and Aaron Brown
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Strategic Learning

Advance your skills with curriculum developed by professionals working in the field, and featuring top industry experts including Balaji Srinivasan, David Jonston and Aaron Brown
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Experts-in-Residence

Advance your skills with curriculum developed by professionals working in the field, and featuring top industry experts including Balaji Srinivasan, David Jonston and Aaron Brown

Advance your Career

This program was built in collaboration with blockchain developers to ensure you learn the right skills necessary to succeed.

Hiring Partners

Blockchain Developers are in high demand. Create your professional portfolio with Udacity and open up a world of opportunities. Our hiring partners are eager to meet you.

Succeed with Recruiters

Blockchain Developers are in high demand. Create your professional portfolio with Udacity and open up a world of opportunities. Our hiring partners are eager to meet you.

Build a Great Network

Blockchain Developers are in high demand. Create your professional portfolio with Udacity and open up a world of opportunities. Our hiring partners are eager to meet you.

Course Curriculum

Basic course for Microsoft Excel
Introduction: Welcome to the Ultimate Microsoft Excel 00:00:00
Excel Fundamentals 00:00:00
Launching Excel 00:00:00
Introduction to the Excel Interface 00:00:00
Customizing the Excel Quick Access Toolbar 00:00:00
Understanding the Structure of an Excel Workbook 00:00:00
Saving an Excel Document 00:00:00
Opening an Existing Excel Document 00:00:00
Common Excel Shortcut Keys 00:00:00
Excel Fundamentals Quiz 00:00:00
Entering and Editing Text and Formulas 00:00:00
Entering Text to Create Spreadsheet Titles 00:00:00
Working with Numeric Data in Excel 00:00:00
Entering Date Values in Excel 00:00:00
Working with Cell References 00:00:00
Creating Basic Formulas in Excel 00:00:00
Relative Versus Absolute Cell References in Formulas 00:00:00
Understanding the Order of Operation Entering and Editing Text and Formulas Quiz 00:00:00
Working with Basic Excel Functions 00:00:00
The structure of an Excel Function 00:00:00
Working with the SUM() Function 00:00:00
Working with the MIN() and MAX() Functions 00:00:00
Working with the AVERAGE() Function 00:00:00
Working with the COUNT() Function 00:00:00
Using the AutoSum Command 00:00:00
Using the AutoFill Command to Copy Formulas 00:00:00
Basic Excel Functions Quiz 00:00:00
Modifying an Excel Worksheet 00:00:00
Moving and Copying Data in an Excel Worksheet 00:00:00
Inserting and Deleting Rows and Columns 00:00:00
Changing the Width and Height of Cells 00:00:00
Hiding and Unhiding Excel Rows and Columns 00:00:00
Deleting an Excel Worksheet 00:00:00
Renaming an Excel Worksheet 00:00:00
Moving and Copying and Excel Worksheet 00:00:00
Modifying Worksheets Quiz 00:00:00
Formatting Data in an Excel Worksheet 00:00:00
Working with Font Formatting Commands 00:00:00
Changing the Background Color of a Cell Adding Borders to Cells 00:00:00
Formatting Data as Currency Values 00:00:00
Formatting Percentages 00:00:00
Using Excel’s Format Painter 00:00:00
Creating Styles to Format Data 00:00:00
Merging and Centering Cells 00:00:00
Using Conditional Formatting 00:00:00
Formatting Data Quiz 00:00:00
Inserting Images and Shapes into an 00:00:00
Excel Worksheet 00:00:00
Inserting Images 00:00:00
Inserting Excel Shapes 00:00:00
Formatting Excel Shapes 00:00:00
Working with Excel SmartArt 00:00:00
Creating Basic Charts in Excel 00:00:00
Creating an Excel Column Chart 00:00:00
Working with the Excel Chart Ribbon 00:00:00
Adding and Modifying Data on an Excel Chart 00:00:00
Formatting an Excel Chart 00:00:00
Moving a Chart to another Worksheet 00:00:00
Working with Excel Pie Charts 00:00:00
Working with Excel Charts Quiz 00:00:00
Printing an Excel Worksheet 00:00:00
Viewing your Document in Print Preview 00:00:00
Intermediate course for excel
Changing the Margins, Scaling and Orientation 00:00:00
Working with Page Layout View 00:00:00
Adding Header and Footer Content 00:00:00
Printing a Specific Range of Cells 00:00:00
Printing and Excel Worksheet Quiz 00:00:00
Working with Excel Templates 00:00:00
Intro to Excel Templates 00:00:00
Opening an Existing Template 00:00:00
Creating a Custom Template 00:00:00
Microsoft Excel Foundation 00:00:00
Course Exercise Files – Download these First 00:00:00
Working with an Excel List 00:00:00
Understanding Excel List Structure 00:00:00
Sorting a List Using Single Level Sort 00:00:00
Sorting a List Using Multi-Level Sorts 00:00:00
Using Custom Sorts in an Excel List 00:00:00
Filter an Excel List Using the AutoFilter Tool 00:00:00
Creating Subtotals in a List Format a List as a Table 00:00:00
Using Conditional Formatting to Find Duplicates 00:00:00
Removing Duplicates 00:00:00
Excel List Functions Excel Function: DSUM() Excel Function: DAVERAGE() Excel Function: DCOUNT() Excel Function: SUBTOTAL() Excel Data Validation 00:00:00
Understanding the Need for Data Validation 00:00:00
Creating a Validation List 00:00:00
Adding a Custom Validation Error 00:00:00
Dynamic Formulas by Using Validation Techniques 00:00:00
Importing and Exporting Data 00:00:00
Importing Data from Text Files 00:00:00
Importing Data from Microsoft Access 00:00:00
Exporting Data to a Text File 00:00:00
Excel PivotTables 00:00:00
Understanding Excel PivotTables 00:00:00
Creating an Excel PivotTable 00:00:00
Modifying Excel PivotTable Calculations 00:00:00
Grouping PivotTable Data 00:00:00
Formatting PivotTable Data 00:00:00
Drilling Down into PivotTable Data 00:00:00
Creating PivotCharts 00:00:00
Filtering PivotTable Data 00:00:00
Filtering with the Slicer Tool 00:00:00
Working with Excel’s PowerPivot Tools 00:00:00
Why PowerPivot? 00:00:00
Activating the Excel PowerPivot AddIn 00:00:00
Creating Data Models with PowerPivot 00:00:00
Creating PivotTables based on Data Models 00:00:00
PowerPivot Calculated Fields 00:00:00
PowerPivot KPIs 00:00:00
Working with Large Sets of Excel Data 00:00:00
Using the Freeze Panes Tool 00:00:00
Grouping Data (Columns and/or Rows) 00:00:00
Print Options for Large Sets of Data 00:00:00
Linking Worksheets (3D Formulas) 00:00:00
Consolidating Data from Multiple Worksheets 00:00:00
Advanced course in excel
Microsoft Excel 103 Course Introduction Course Exercise Files – Download this Excel File First! 00:00:00
Working with Excel’s Conditional Functions 00:00:00
Working with Excel Name Ranges 00:00:00
Using Excel’s IF() Function 00:00:00
Nesting Functions 00:00:00
Using Excel’s COUNTIF() Function 00:00:00
Using Excel’s SUMIF() Function 00:00:00
Using Excel’s IFERROR() Function 00:00:00
Working with Excel’s Lookup Functions 00:00:00
Excel’s VLOOKUP() Function 00:00:00
Excel’s HLOOKUP() Function 00:00:00
Using Excel’s INDEX() and MATCH() Functions 00:00:00
Working with Excel’s Text Based Functions 00:00:00
Using Excel’s LEFT(), RIGHT() and MID() Functions 00:00:00
Using Excel’s LEN() Function 00:00:00
Using Excel’s SEARCH() Function 00:00:00
Excel’s CONCATENATE() Function 00:00:00
Auditing an Excel Worksheet 00:00:00
Tracing Precedents in Excel Formulas 00:00:00
Tracing Dependents in Excel Formulas 00:00:00
Working with the Watch Window Showing Formulas 00:00:00
Protecting Excel Worksheets and Workbooks 00:00:00
Protecting Specific Cells in a Worksheet 00:00:00
Protecting the Structure of a Workbook 00:00:00
Adding a Workbook Password 00:00:00
Mastering Excel’s “What If?” Tools 00:00:00
Working with Excel’s Goal Seek Tool 00:00:00
Working with Excel’s Solver Tool 00:00:00
Building Effective Data Tables in Excel 00:00:00
Creating Scenarios in Excel 00:00:00
Automating Repetitive Tasks in Excel with Macros 00:00:00
Understanding Excel Macros 00:00:00
Activating the Developer Tab in Excel 00:00:00
Creating a Macro with the Macro 00:00:00
Recorder 00:00:00
Editing a Macro with VBA 00:00:00
Creating Buttons to Run Macros 00:00:00
Introduction – Welcome to the Course Understanding the Why and How Behind Excel Macros 00:00:00
Advanced course on Pivot tables
Why PivotTables? 00:00:00
Structuring Your Source Data 00:00:00
Inserting Your First PivotTable 00:00:00
IMPORTANT: “Add to Data Model” 00:00:00
Navigating the Field List 00:00:00
KNOWLEDGE CHECK: Manipulating Pivot Table Views 00:00:00
PivotTable Options: “Analyze” & “Design” Selecting, Clearing, Moving & Copying Pivots 00:00:00
Refreshing & Updating Pivots 00:00:00
PRO TIP: Dealing with Growing Source Data 00:00:00
How PivotTables ACTUALLY Work 00:00:00
PivotTable Formatting 00:00:00
Number Formatting 00:00:00
PRO TIP: Automatically Formatting Empty Cells 00:00:00
Table Layouts & Styles PRO TIP: Using Tabular Tables to Create New Source Data 00:00:00
Customizing Headers & Labels 00:00:00
Conditional Formatting PRO TIP: Data Bars with Invisible Text 00:00:00
Sorting, Filtering & Grouping 00:00:00
Sorting Options PRO TIP: Why is my Alphabetical Sorting Wrong? 00:00:00
Label Filters & Manual Selections PRO TIP: Using Label Filters with 00:00:00
Wildcards Value Filters PRO TIP: Enabling Multiple Filters Grouping Data PRO TIP: Automatic Date Grouping 00:00:00
Using Slicers & Timelines to Filter Data Breaking Out Report Filter Pages 00:00:00
Calculated Values, Fields & Items “Summarize Values By” Options PRO TIP: Avoiding the “Count Of” Trap 00:00:00
“Show Values As” Calculations Show Values As: % of Column/Row Show Values As: % of Parent Show Values As: Difference From Show Values As: Running Total Show Values As: Rank Show Values As: Index 00:00:00
KNOWLEDGE CHECK: Show Values As Inserting Calculated Fields 00:00:00
Calculations in Pivots vs. Raw Data 00:00:00
PRO TIP: Calculating Using Counts PRO TIP: Calculating Using Counts (part 2) 00:00:00
Inserting a Calculated Item (not recommended!) 00:00:00
Intro to PivotCharts 00:00:00
PivotChart Demo: Column Chart PivotChart Demo: Pie/Donut Chart PivotChart Demo: Clustered Bar Chart PRO TIP: Prevent Charts from Resizing with Cells 00:00:00
Changing Chart Types on the Fly 00:00:00
PivotChart Demo: Stacked Area Chart 00:00:00
PivotChart Layouts & Styles 00:00:00
Moving PivotCharts to New Sheets 00:00:00
Applying Slicers & Timelines to Multiple Charts 00:00:00
Building a Dynamic Dashboard 00:00:00
Data Visualization Best Practices 00:00:00
Key Data Viz Principles & The 10-Second Rule 00:00:00
The Good, The Bad, and The Ugly 00:00:00
The 3 Key Questions 00:00:00
Customizing Charts in Excel 00:00:00
Setting Expectations 00:00:00
Chart Elements, Layouts, Colors & Styles 00:00:00
Chart Formatting Options 00:00:00
Changing Chart Types & Adding a Secondary Axis 00:00:00
Creating, Modifying & Applying Custom Templates 00:00:00
Chart Customization 00:00:00
Mastering Basic Charts & Graphs 00:00:00
Next-Level Data Visualization Exercises Setting Expectations 00:00:00
Custom Image Overlay Charts 00:00:00
Adding Binary Values to Highlight Date Ranges 00:00:00
Automation with OFFSET, COUNTA & Named Ranges 00:00:00
Adding Scroll & Zoom Functionality with Form Controls 00:00:00
Animating Changes Over Time 00:00:00
Building a Dynamic Dashboard (Part 1) 00:00:00
Building a Dynamic Dashboard (Part 2) 00:00:00
Value-Based Dynamic Formatting 00:00:00
Dynamically Highlighting a Data Series 00:00:00
Building a Custom Pacing Chart 00:00:00
Designing a Custom Gauge Chart 00:00:00
Visualizing a Percentage Using Array Functions 00:00:00
Advanced Data Visualization Techniques 00:00:00
How to Create Custom Shortcut Menus for Individual Form Controls 00:00:00
Overview of Shortcut Menus – A Demo of the Finished Form 00:00:00
Download the Shortcut Database 00:00:00
Create the Shortcut Menu Program 00:00:00
Start Building Shortcut Menu Subroutine 00:00:00
Finish the Shortcut Menu Subroutine 00:00:00
Add Menu Groups and More Commands 00:00:00
Modify Menus and Add a Call to a VBA Subroutine 00:00:00
Using the Triple State Property with Check Boxes 00:00:00
Build a Searchable List Box 00:00:00
Overview of Finished Form 00:00:00
Download the ListBox Database 00:00:00
Start Modifying the Customer Form 00:00:00
Start Customizing the Listbox 00:00:00
Expand the Listbox Keydown Routine 00:00:00
Continue Building the ListFind Function 00:00:00
Add Backspace Functionality 00:00:00
Add the Location of Customer Records Functionality 00:00:00
Design Challenge – Create Running Balances in a Subform & Update Main Form 00:00:00
Advanced courses in PowerPoint
Introduction (brief welcome) 00:00:00
Essential Knowledge (hints before you start) 00:00:00
Slide Design (14 slides to create) 00:00:00
Slide Master (creating & setting up templates) 00:00:00
Slide Design #2 (14 more slide ideas) 00:00:00
Slide Design #3 00:00:00
Polishing Presentations (important touches) 00:00:00
Introduction to Azure 00:00:00
Deploying Virtual Machines 00:00:00
Azure Active Directory 00:00:00
Deploying Websites 00:00:00
Azure SQL 00:00:00
Azure Storage 00:00:00
Azure Containers 00:00:00
Azure Networking 00:00:00
Automation and Log Analytics 00:00:00
Deploying Virtual Machines Active Directory 00:00:00
Deploying Web Sites 00:00:00
Azure – SQL 00:00:00
Azure Storage and Azure Containers 00:00:00
Networking 00:00:00
Automation and Log Analytics 00:00:00

Pricing

FAQ

Why should I enroll?

The data science field is expected to continue growing rapidly over the next several years, and there’s huge demand for data scientists across industries. Data scientist is consistently rated as a top career.

Udacity has collaborated with industry leaders to offer a world-class learning experience so you can advance your data science career. You’ll get hands-on experience running data pipelines, designing experiments, building recommendation systems, and more. You’ll have personalized support as you master in-demand skills that qualify you for high-value jobs in the data science field.

By the end of the program, you’ll have an impressive portfolio of real-world projects, and valuable hands-on experience. You’ll also receive career support via profile and portfolios reviews to help make sure you’re ready to establish a successful data science career, and land a job you love.

What jobs will this program prepare me for?

Obtaining the skills required to be a Data Scientist will make you extremely valuable across many industries, and in many roles. Data Scientists work as Analysts, Statisticians, Engineers, and more. Some become Data and Analytics Managers, while others specialize as Database Administrators. As a graduate of this program, you’ll be prepared to seek out roles that run the gamut from generalist to specialist, and all points in between.

How do I know if this program is right for me?

This program offers an ideal path for experienced programmers and data analysts to advance their data science careers. If you’re interested in deepening your expertise in the fields of analytics, machine learning, data engineering, and/or data science, this is a great way to get hands on practice with a variety of techniques and learn to build end to end data science solutions.

Do I need to apply? What are the admission criteria?

No. This Nanodegree program accepts all applicants regardless of experience and specific background.

What are the prerequisites for enrollment?

The Data Scientist Nanodegree program is designed for students with programming and data analysis experience. Students should have a high comfort level with a variety of topics before starting the program. In order to successfully complete this program, you should meet the following prerequisites:

  • Python programming, including common data analysis libraries (NumPy, Pandas, Matplotlib).
  • SQL programming
  • Statistics (Descriptive and Inferential)
  • Calculus
  • Linear Algebra
  • Experience wrangling and visualizing data
How much does the program cost?

The full program consists of two terms, the first term is three-months long and the second term is four-months long, at a cost of ₹33,500 for Term 1.
The payment is due before the term begins in each instance.

What software and versions will I need in this program?

To successfully complete this Nanodegree program, you’ll need to be able to download and run Python 3.7.

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