Tech Career Foundation Skills you will learn

  • Business Analytics Overview
  • MS Office Suite
  • Cybersecurity Basics
  • Data Visualization
  • IT Infrastructure Tools

Who should learn this Tech Career Foundation Skills course?

  • Data Analyst
  • IT Support Specialist
  • Project Coordinator
  • Cloud Engineer
  • Cybersecurity Assistant

What you will learn in this Tech Career Foundation Skills course?

  • Foundation Skills for a Technology Career

    • Lesson 01: Course Introduction

      • 1.01 Introduction
        05:40
      • 1.02 What Will You Learn
        01:54
    • Lesson 02: Overview of Business Analytics

      • 2.01 Introduction
        00:54
      • 2.02 What Is Business Analytics
        02:30
      • 2.03 Process of Business Analytics Data Collection, Data Pre-Processing, EDA, Statistical Analysis, and Predictive Modeling
        02:47
      • 2.04 Process of Business Analytics Data Mining, Optimization and Simulation, Deployment and Implementation, Monitoring and Iteration, and Governance and Ethical Issues
        02:50
      • 2.05 Evolution of Business Analytics
        02:30
      • 2.06 Evolution of Business Analytics: Role of Social Media
        02:11
      • 2.07 Revolutionizing Business Analytics: The Data-Driven Era​
        01:51
      • 2.08 Importance of Business Analytics in Modern Business​
        01:21
      • 2.09 Mastering Business Strategy
        04:11
      • 2.10 Business Analyst and Their Responsibilities
        01:43
      • 2.11 Key Responsibilities of Business Analyst: Business Analysis and Strategic Initiatives
        02:49
      • 2.12 Key Responsibilities: Change Management Strategies and Continuous Learning and Development
        01:47
      • 2.13 What Value Does a Business Analyst Provide
        01:31
      • 2.14 The Role of a Business Analyst
        01:51
      • 2.15 The Business Analyst's Role in Risk Management and Reduction
        02:12
      • 2.16 Business Analyst's Skills
        02:09
      • 2.17 Core Skills of Business Analysts Strategy, Stakeholder Relations, and Project Management
        01:59
      • 2.18 Adaptability and Leadership Skills of a Business Analyst
        01:55
      • 2.19 Types of Business Analytics
        02:55
      • 2.20 Steps and Role of Visualization in the Analysis Process
        02:37
      • 2.21 Feature and Model Selection
        02:52
      • 2.22 Data Mining and Patterns
        01:49
      • 2.23 Types of Patterns
        02:52
      • 2.24 Data Mining Process
        03:29
      • 2.25 Data Mining Techniques
        03:10
      • 2.26 Basics of Predictive Modeling
        01:52
      • 2.27 Predictive Modeling Techniques
        02:49
      • 2.28 Implementing and Optimizing Predictive Models
        00:58
      • 2.29 Applications of Predictive Modeling
        02:05
      • 2.30 Benefits and Impacts of Predictive Modeling
        01:50
      • 2.31 Overview of Decision Support Systems (DSS)
        01:09
      • 2.32 Key Elements of Decision Support Systems
        02:20
      • 2.33 Technical Analysis in Decision Support Systems
        01:53
      • 2.34 Visualizing Decisions Support System
        02:15
      • 2.35 Role in Strategic Decision Making
        02:49
      • 2.36 Case Studies on Effective Decision Support: Netflix
        02:28
      • 2.37 Case Studies on Effective Decision Support: Amazon
        01:44
      • 2.38 Case Studies on Effective Decision Support: Uber
        02:10
      • 2.39 Quick Recap
        01:25
    • Lesson 03: Introduction to MS Excel

      • 3.01 Introduction
        01:19
      • 3.02 Basics of Microsoft Excel
        01:42
      • 3.03 Principles of Microsoft Excel
        01:39
      • 3.04 Features of a Workbook
        02:30
      • 3.05 Process of Structuring Data
        01:52
      • 3.06 Navigating Through the Excel Interface
        02:02
      • 3.07 Process of Navigating Within the Spreadsheet
        01:53
      • 3.08 Creating and Managing Worksheets
        02:16
      • 3.09 Reorganizing and Merging Worksheets
        02:05
      • 3.10 Page Layout, Navigation, and Data Safeguarding
        02:15
      • 3.11 Excel Interface Navigation
      • 3.12 Cell Formatting and Styles: Font and Number Formatting Techniques
        01:37
      • 3.13 Cell Formatting and Styles: Indentation, Alignment, Borders, and Conditional Formatting
        01:33
      • 3.14 Cell Formatting and Styles: Creating Custom Formats and Effective Formatting Recommendations
        01:24
      • 3.15 Different Forms of Data Anomalies
        02:19
      • 3.16 Identifying Data Anomalies and Conditional Formatting
        01:50
      • 3.17 Data Cleaning Techniques
        02:31
      • 3.18 Statistical Analysis of the Data
        02:06
      • 3.19 Regular Data Monitoring
        02:27
      • 3.20 Cell Formatting and Styles: Eliminating Duplicates, Handling Missing Values, and Cleaning Text Data
        03:08
      • 3.21 Effective Data Cleaning Techniques in Excel
        02:47
      • 3.22 Data Cleaning Tasks
      • 3.23 Quick Recap
        01:10
    • Lesson 04: Mastering Excel Functions, PivotTables, and Dashboards

      • 4.01 Introduction
        01:03
      • 4.02 Information Functions
        02:02
      • 4.03 Error Codes
        01:36
      • 4.04 Error Codes Information Function
        02:43
      • 4.05 Logical Functions
        03:30
      • 4.06 LOOKUP Function
        01:24
      • 4.07 VLOOKUP and HLOOKUP Functions
        01:22
      • 4.08 XLOOKUP Function
        01:03
      • 4.09 Index, Match, and Offset Functions
        03:18
      • 4.10 Financial Functions
        03:04
      • 4.11 Advanced Formula for Data Analysis: Textjoin and Sumproduct Functions
        01:27
      • 4.12 Introduction to PivotTable
        01:59
      • 4.13 Key Features of PivotTables
        01:21
      • 4.14 Advantages of PivotTables
        01:07
      • 4.15 Functionalities of PivotTables
        02:11
      • 4.16 Creating PivotTable
      • 4.17 Customize PivotTable for Analysis
      • 4.18 Role of Dashboards in Data Visualization
        01:27
      • 4.19 Strategic Role of Dashboards in Modern Management
        02:47
      • 4.20 Dashboard Design: Audience Understanding, Simplicity, and Strategic Visualization
        02:11
      • 4.21 Creating Effective Dashboard Design
        02:57
      • 4.22 Creating Dynamic Dashboards
      • 4.23 Quick Recap
        01:57
    • Lesson 05: Google Sheets

      • 5.01 Introduction
        00:58
      • 5.02 Introduction and Importance to Google Sheets
        02:50
      • 5.03 Comprehensive Overview of Google Sheets
        02:06
      • 5.04 Advanced Features and Integrations of Google Sheets
        01:39
      • 5.05 Instructions to Analyze Data Using Google Sheets
        02:32
      • 5.06 Signifiance of Documentation in Conducting Data Analysis
        02:07
      • 5.07 Real-Time Collaboration Tools in Google Sheets
        02:22
      • 5.08 Live Chat
        02:12
      • 5.09 Comments and Annotations
        02:29
      • 5.10 Tracking Changes with Google Sheets' Version History
        01:13
      • 5.11 Manipulation of Data
        02:26
      • 5.12 Basic Data Manipulation Tasks
        01:25
      • 5.13 Data Manipulation Tools and Statistical Functions in Google Sheets
        02:26
      • 5.14 Power of Regex in Data Manipulation
        01:39
      • 5.15 Creating Tables for Data Visualization
      • 5.16 Visualization with Charts
      • 5.17 Quick Recap
        01:14
    • Lesson 06: Data Visualization Using Tableau

      • 6.01 Introduction
        02:19
      • 6.02 Introduction to Tableau as a Data Visualization Tool
        03:31
      • 6.03 Drag-and-Drop Interface in Tableau
        03:08
      • 6.04 Real-Time Data Analysis Capabilities
        02:37
      • 6.05 Integration With Various Data Sources
        03:14
      • 6.06 Tableau Public vs. Tableau Desktop
        04:04
      • 6.07 Understanding the Main Menu and Toolbar
        04:05
      • 6.08 Exploring the Data Pane, Analytics Pane, and Worksheet Area
        03:33
      • 6.09 Importing Data From Different Sources
        02:53
      • 6.10 Managing Data Connections and Data Types in Tableau
        03:26
      • 6.11 Creating Basic Charts
        02:37
      • 6.12 Understanding the Purpose and Benefits of Dashboards in Data Visualization
        03:28
      • 6.13 Adding and Arranging Visualizations on a Dashboard
        02:10
      • 6.14 Adding Filters, Actions, and Parameters for Interactive Dashboards
        02:25
      • 6.15 Using Containers for Better Design
        02:37
      • 6.16 Best Practices for Designing User-Friendly Dashboards
        03:43
      • 6.17 Introduction to Stories and Their Role in Data Storytelling
        02:32
      • 6.18 Steps to Create a Story in Tableau
        02:17
      • 6.19 Adding Navigation to Story Points
        02:12
      • 6.20 Best Practices for Effective Storytelling with Data
        03:04
      • 6.21 Quick Recap
        01:45
    • Lesson 07: Documentation and Presentation

      • 7.01 Introduction
        00:55
      • 7.02 Introduction to Microsoft Word
        01:02
      • 7.03 Overview of Microsoft Word Interface
        02:51
      • 7.04 Working with Microsoft Word: Save and Print
        01:23
      • 7.05 Working with Microsoft Word: Formatting Text
        03:28
      • 7.06 Working with Microsoft Word: Other Formatting Options
        02:33
      • 7.07 Working with Microsoft Word: Page Layout
        03:50
      • 7.08 Working with Microsoft Word: Inserting Tables and Charts
        02:51
      • 7.09 Formatting and Designing in Microsoft Word
      • 7.10 Collaboration and Integration in Microsoft Word
      • 7.11 Introduction to Google Docs
        01:34
      • 7.12 Editing and Sharing Google Docs
        02:40
      • 7.13 Formatting and Designing in Google Docs
      • 7.14 Collaboration and Integration in Google Docs
      • 7.15 Accessing and Utilizing Version History in Google Docs
      • 7.16 Introduction to Microsoft PowerPoint
        00:55
      • 7.17 Choosing Slide Layouts
        01:12
      • 7.18 Formatting Slides Backgrounds and Colors
        01:26
      • 7.19 Formatting Slides, Utilizing Templates, and Customizing Themes in PowerPoint
      • 7.20 Using Animations, SmartArt, and Navigation of Comments in PowerPoint
      • 7.21 Quick Recap
        01:01
    • Lesson 08: Task Management Using Asana

      • 8.01 Introduction
        02:36
      • 8.02 Introduction to Task Management
        02:03
      • 8.03 Introduction to Asana
        02:11
      • 8.04 Benefits of Using Asana
        01:13
      • 8.05 Uses of Asana
        02:35
      • 8.06 Navigating through the Asana Interface
        03:41
      • 8.07 Personal Productivity with Asana
      • 8.08 Asana Features: Inbox and Notifications and Search Navigation
        01:22
      • 8.09 Asana Features: Managing Project and Task
        01:40
      • 8.10 Asana Features: Tracking Progress and Collaboration
        01:55
      • 8.11 Using My Tasks View
        02:23
      • 8.12 Integrating Calendar and Reminders
        02:36
      • 8.13 Creating Recurring Tasks
        01:16
      • 8.14 Using Timelines in Asana
        01:12
      • 8.15 Set up and Manage Tasks Using Asana
      • 8.16 Tracking Task Progress and Completing Tasks in Asana
      • 8.17 Quick Recap
        02:39
    • Lesson 09: IT Infrastructure Tools

      • 9.01 Introduction
        02:17
      • 9.02 Introduction to IT Infrastructure
        03:48
      • 9.03 Hardware Components
        03:53
      • 9.04 Software Components
        01:52
      • 9.05 Network Basics
        04:30
      • 9.06 Communication and Collaboration
        03:29
      • 9.07 Efficient Problem Solving
        03:09
      • 9.08 Cloud Computing Advancements
        02:53
      • 9.09 Internet of Things (IoT) Integration
        03:34
      • 9.10 Integration of Internet of Things (IoT): Benefits and Challenges
        02:48
      • 9.11 Quick Recap
        02:32
    • Lesson 10: Windows Administrator Essentials

      • 10.01 Introduction
        02:20
      • 10.02 Creating and Managing User Accounts
        02:37
      • 10.03 Setting User Permissions and Roles
        01:53
      • 10.04 Configuring Network Settings
        01:49
      • 10.05 Managing Windows Updates
        02:19
      • 10.06 Application Crashes
        02:42
      • 10.07 Performance Issues
        03:46
      • 10.08 Network Connectivity
        03:02
      • 10.09 Basic Troubleshooting Techniques
        01:59
      • 10.10 Troubleshooting Boot Issues
        02:46
      • 10.11 Understanding Disk Partitioning
        02:47
      • 10.12 How to Partition a Hard Drive?
        01:12
      • 10.13 Organizing Data
        01:57
      • 10.14 Tools for Disk Partitioning
        04:00
      • 10.15 Creating and Managing Disk Partitions in Windows
      • 10.16 Quick Recap
        01:50
    • Lesson 11: Cloud Computing

      • 11.01 Introduction
        02:22
      • 11.02 Introduction to Cloud Computing
        01:36
      • 11.03 History and Evolution of Cloud Computing
        03:23
      • 11.04 Advantages and Disadvantages of Cloud Computing
        03:47
      • 11.05 Types of Cloud Services
        03:12
      • 11.06 Infrastructure as a Service (IaaS)
        03:53
      • 11.07 Platform as a Service (PaaS)
        03:43
      • 11.08 Software as a Service (SaaS)
        03:17
      • 11.09 Overview of Cloud Deployment Models
        01:49
      • 11.10 Public Cloud
        02:42
      • 11.11 Private Cloud
        03:17
      • 11.12 Hybrid Cloud
        02:49
      • 11.13 Overview of Major Cloud Service Providers
        02:02
      • 11.14 Amazon Web Services (AWS)
        04:12
      • 11.15 Microsoft Azure
        03:48
      • 11.16 Google Cloud Platform (GCP)
        03:32
      • 11.17 Comparison of Cloud Services: AWS, Azure, and GCP
        03:25
      • 11.18 Characteristics of Cloud: On-Demand Self-Service and Broad Network Access
        02:07
      • 11.19 Cloud Characteristic: Resource Pooling, Rapid Elasticity, and Measured Service
        02:48
      • 11.20 Introduction to Cloud Security
        03:26
      • 11.21 Cloud Computing Security Risks and Challenges
        03:20
      • 11.22 Key Security Concepts: Confidentiality, Integrity, and Availability
        01:42
      • 11.23 Best Practices for Cloud Security
        03:22
      • 11.24 Cloud Security Concept: Shared Responsibility Model
        03:45
      • 11.25 Cloud Security Concept: Data Encryption
        02:40
      • 11.26 Cloud Security Concept: Identity and Access Management (IAM)
        02:56
      • 11.27 Cloud Security Concept: Security Monitoring
        02:00
      • 11.28 Cloud Security Concept: Incident Response
        02:17
      • 11.29 Cloud Security Concept: Compliance and Legal Considerations
        03:36
      • 11.30 Implementing Cloud Security
        03:40
      • 11.31 Security Tools and Technologies
        04:26
      • 11.32 Case Studies on Cloud Security Implementations
        02:58
      • 11.33 Industry Use Cases: Healthcare, Finance, Education, and Entertainment
        03:00
      • 11.34 Emerging Technologies
        02:43
      • 11.35 Impact on Businesses and Society
        02:13
      • 11.36 Quick Recap
        01:48
    • Lesson 12: Digital Safety

      • 12.01 Introduction
        01:32
      • 12.02 Introduction to Digital Safety
        02:34
      • 12.03 Key Concepts in Digital Safety
        03:50
      • 12.04 Why Digital Safety Matters?
        02:39
      • 12.05 Impact of Digital Threats on Individuals and Organizations
        03:42
      • 12.06 Real-World Examples of Digital Security Breaches
        04:26
      • 12.07 Importance of Strong Passwords
        04:35
      • 12.08 Creating Strong Passwords
        01:58
      • 12.09 Creating Strong Passwords: Other Points To Consider
        02:05
      • 12.10 Tools for Managing Passwords
        02:52
      • 12.11 Quick Recap
        01:24
    • Lesson 13: Introduction to Cybersecurity

      • 13.01 Introduction
        01:45
      • 13.02 Definition and Importance of Cybersecurity
        02:57
      • 13.03 Unraveling the Evolution of Cybersecurity
        02:01
      • 13.04 Understanding Data and Information Security
        03:22
      • 13.05 Basic Concepts: Confidentiality, Integrity, and Availability (CIA Triad)
        02:48
      • 13.06 Common Cybersecurity Terminology
        02:54
      • 13.07 Types of Threat Actors: Hackers, Malware Authors, and Insiders
        02:11
      • 13.08 Common Cyber Attacks: Phishing, Malware, and Denial of Service (DoS)
        02:57
      • 13.09 Strategies for Mitigating Cyber Threats
        02:36
      • 13.10 Importance of Security Policies
        02:48
      • 13.11 Elements of Security Policies: Access Control and Password Policies
        03:08
      • 13.12 Role of Procedures in Ensuring Security Compliance
        03:05
      • 13.13 Encryption Techniques
        02:06
      • 13.14 Network Segmentation
        03:25
      • 13.15 Intrusion Detection and Prevention Systems (IDPS)
        03:20
      • 13.16 Role of Governance in Cybersecurity
        02:37
      • 13.17 Establishing Accountability and Responsibility
        02:07
      • 13.18 Understanding Cybersecurity Risks
        02:42
      • 13.19 Risk Assessment Process
        02:36
      • 13.20 Risk Mitigation Strategies
        03:36
      • 13.21 Information Security Program and Its Components
        03:20
      • 13.22 Security Awareness Programs
        02:31
      • 13.23 Incident Response Lifecycle
        02:42
      • 13.24 Introduction to Digital Forensics
        02:14
      • 13.25 Role of Digital Forensics in Cybercrime Investigations
        02:00
      • 13.26 Business Continuity Planning (BCP)
        02:45
      • 13.27 Disaster Recovery Planning (DRP)
        02:59
      • 13.28 Ensuring Continuity of Operations
        03:24
      • 13.29 Quick Recap
        02:32

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Why you should learn Tech Career Foundation Skills?

$301.8 Billion

Expected size of global Data Analytics market by 2030.

$78K+ (USA) | INR 6.3 LPA

Average Salary of a Data analyst annually.

Career Opportunities

  • Average Salary

    $49,788 - $123,558 Per Annum

    Hiring Companies
    Microsoft
    Wipro
    Accenture
    Amazon
About the Course

The "Tech Career Kickstart Course" is your gateway to mastering essential tech skills, perfect for beginners or career switchers. This comprehensive program covers everything from business analytics and Excel to cloud computing and cybersecurity, equipping you with the tools needed to thrive in today's digital world.

Topics Covered in the Free Tech Career Foundation Skills Course:

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FAQs

  • Who is this course for?

    This course is ideal for beginners or those looking to transition into the tech industry.

  • What topics does the free Tech Career Foundation Skills course cover?

    It covers business analytics, MS Excel, Google Sheets, Tableau, IT tools, cloud computing, cybersecurity, and more.

  • Do I need prior tech experience?

    No prior experience is required; the course is designed for learners of all levels.

  • What is the course duration?

    The free Tech Career Foundation Skills course is self-paced, allowing you to learn at your convenience.

  • Will I receive a certificate?

    You will receive a certificate upon completing all the modules of this free course and successfully attempting the assessment.

  • What tools will I learn to use?

    You'll learn tools like Excel, Google Sheets, Tableau, Asana, and IT infrastructure tools.

  • How will this course help my career?

    It provides foundational skills to pursue entry-level tech roles and enhances employability across industries.

  • Can I access course materials after completion?

    Yes, you retain access to the course materials after finishing.

  • What are the next steps after completing the course?

    You can pursue entry-level tech roles or continue learning to specialize in areas like cybersecurity or cloud computing.

  • Disclaimer
  • PMP, PMI, PMBOK, CAPM, PgMP, PfMP, ACP, PBA, RMP, SP, OPM3 and the PMI ATP seal are the registered marks of the Project Management Institute, Inc.