Reignite Your Career

Dive into the Data Revolution Now! Intro to Data Analytics

Duration: 3 Days
Delivery method: Live & Virtual
Level: Beginner

Jump Into the Data Pool

Ready to dive headfirst into the bustling world of data? With our chill yet comprehensive Introduction to Data Analytics - Fundamentals Course, you'll be riding the data wave like a pro, and making a splash in your career comeback!

Who Is This Course For?

Are you a dynamic woman ready to dip your toes into the expansive ocean of IT? Eager to find out if data analytics is your calling? Our course is your gateway to explore and conquer!

If you harbor:

The ambition to upskill and continually adapt
A budding interest in the realm of data
The aspiration to drive your career and future

Bring this or any training to your organization
Full-scale program development
Delivered when, where, and how you want it
Blended learning models
Tailored content
Expert team coaching

A 3-day, instructor led training program in the fundamentals of Data and Data Analytics
A supportive environment to learn with like-minded women
Flexibility to attend the course remotely
Live training led by a reputable Data Scientist

Would you like to take this course as a team?

July 11, 12, 13 9:00 AM - 4:30 PM EST

Virtual

Completed
April 3, 4, 5 9:00 AM - 4:30 PM EST

Virtual

Completed

Questions About This Course?

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Fill out the form below or call +1 (347) 495-3697

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What Makes Our Course Unique?

Dive into data analytics with us - it's like your career comeback party, but better!

Woman-Centric Design

Tailored exclusively for women returning to work, supporting you throughout your unique journey.

Live Instructor Led

Experience real-time learning with seasoned industry professionals, facilitating personal attention and immediate feedback.

Vibrant Community

Join our course and connect with a diverse network of like-minded women, charting similar career paths.

Course Outline – What You Will Learn

DAY 1: DATA AND ANALYTICS FUNDAMENTALS

DAY 2: CLOUD FUNDAMENTALS

DAY 3: PYTHON FUNDAMENTALS

Introduction
Identify data formats
Explore file storage
Explore databases
Explore transactional data processing
Explore analytical data processing

Explore job roles in the world of data
Identify data services

Understand relational data
Understand normalization
Explore SQL
Describe database objects
Explore transactional data processing
Explore analytical data processing

Describe relational database services and capabilities
Describe non-relational database services and capabilities

Introduction to Data Science Life Cycle model
Acquiring and cleansing data
Parsing and validating data

Machine Learning Techniques (Supervised, Unsupervised and Reinforcement Learning)
What are Machine Learning Algorithms?
Machine Learning Use Cases

Describe modern data warehousing
Explore data ingestion pipelines
Explore analytical data stores

Introduction to Power BI
Introduction to Tableau
Introduction to Visualizations using Python and R

Introduction to cloud computing
Cloud computing characteristics
Public, private and hybrid clouds
Understanding IaaS, PaaS and SaaS

Understand TCO
Cloud migration planning
Cloud roles and skills
Establish cloud security

Cloud security planning
Cloud security requirements
Security implementation and operations

Planning cloud operations
Cloud technology and toolsets
Cloud monitoring and management
Multi-cloud operations

Cloud governance planning
Cloud governance requirement
Selecting cloud governance technology
Cloud governance operations

Introduction to Python
Setup your environment

Validate Python version and installation
Install Python 3
Install Visual Studio Code
Install Python extension
Create your first Python application

Cloud security planning
Cloud security requirements
Security implementation and operations

Work with output
Collect input

Work with packages
Work with project files

Write if statements
What are else and elif statements?
What are and and or operators?

String basics in Python
String methods in Python
String format in Python

What are operators in Python?
Work with numbers in Python

Introducing lists
Work with numbers in lists
Manipulate list data

About while loops
Use for loops with lists

Introducing Python dictionaries
Dynamic programming with dictionaries

Basics of Python functions
Use function arguments in Python
Use keyword arguments in Python
Use variable arguments in Python

Use tracebacks to find errors
Handle exceptions
Raise exceptions

About The Instructor, Anu Natarajan

Anu Natarajan

Instructor

Data Leader

Anu is a Data, Analytics and AI Consultant with 20+ years of experience in design and development of Data Warehouse, Business Intelligence, AI enabled applications & SaaS integrated solutions. She is a Microsoft MVP in Artificial Intelligence, Microsoft Certified Trainer and is passionate in sharing knowledge. Anu regularly speaks at conferences (PASS Summit, SQL Saturdays, Data Platform Summit, Difinity) and organises local user group meetups and data events in Wellington, New Zealand.

What goZealers are saying

It's designed by women, for women, making your transition back into the workforce smooth sailing.

The goZeal team provided flexibility and resources necessary for a smooth transition back into the workforce. The cohort session with a professional mentor was an eye opener for many of us who left the IT industry. Thank you goZeal for your dedication to women and providing a platform that celebrates professionals with career breaks!

Atchaya Technical Blog/Content Writer

Career breaks with busy home making took away my confidence and added barriers to resume my professional career. The goZeal Cohort has been a game changer for me, as it was both transformative and empowering.The support, mentorship, and opportunities for growth have been exceptional.

Dharani Technical Blog/Content Writer

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Crafted with your unique needs in mind

What is Data Analytics?

Data Analytics involves extracting meaningful insights from data to guide informed decision-making. It helps identify trends and patterns that can shape strategies across various fields.

What is Data Engineering?

Data Engineering is focused on constructing systems for managing big data. Data engineers devise efficient methods for organizing, storing, and retrieving massive amounts of data.

What are the key traits of a data analyst?

A data analyst is analytical, detail-oriented, and skilled in identifying patterns within large data sets. They possess robust communication skills and a sound understanding of data analytics tools and programming languages.

What would the day-to-day role of a data analyst be like?

A data analyst's daily tasks typically involve collecting, cleaning, and analyzing data, creating visualizations, and presenting findings. They apply data insights to influence business decisions, collaborating closely with diverse teams across the organization.

What are the prerequisites for this course?

There are no prerequisites for this course. You do not need any prior knowledge of data analytics or a technical background.

Will I receive a certificate upon completion of the course?

Yes, you will receive a certificate upon successful completion of the course.

Will I get practical experience during the course?

Absolutely. The course includes real-world case studies and projects to ensure you gain practical experience in data analytics.

What if I have more questions?

If you have additional questions, please feel free to reach out to us at info@gozeal.com. We're here to assist you on your journey to learning data analytics.

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Reignite Your Career

Jump Into the Data Pool

Who Is This Course For?

Questions About This Course?

Customize Your Team Training Experience

What Makes Our Course Unique?

Woman-Centric Design

Live Instructor Led

Vibrant Community

Course Outline – What You Will Learn

DAY 1: DATA AND ANALYTICS FUNDAMENTALS

DAY 2: CLOUD FUNDAMENTALS

DAY 3: PYTHON FUNDAMENTALS

EXPLORE CORE DATA CONCEPTS

EXPLORE DATA ROLES AND SERVICES

EXPLORE FUNDAMENTAL RELATIONAL DATA CONCEPTS

EXPLORE RELATIONAL AND NON-RELATIONAL DATABASES IN CLOUD

DATA SCIENCE FUNDAMENTALS

MACHINE LEARNING FUNDAMENTALS

EXPLORE DATA ANALYTICS IN CLOUD

EXPLORE ANALYTICS TOOLS

CLOUD COMPUTING BASICS

CLOUD COMPUTING MIGRATION PLANNING

CLOUD SECURITY

CLOUD OPERATIONS

CLOUD GOVERNANCE

GETTING STARTED WITH JUPYTER NOTEBOOKS FOR PYTHON

GET STARTED WITH PYTHON IN VISUAL STUDIO

WRITE YOUR FIRST PYTHON PROGRAM

CLOUD OPERATIONS

CREATE AND MANAGE PROJECTS IN PYTHON

USING BOOLEAN LOGIC IN PYTHON

USING STRINGS IN PYTHON

USE MATHEMATICAL OPERATIONS IN PYTHON

INTRODUCTION TO LISTS IN PYTHON

USING WHILE AND FOR LOOPS IN PYTHON

MANAGE DATA WITH PYTHON DICTIONARIES

PYTHON FUNCTIONS

PYTHON ERROR HANDLING

About The Instructor, Anu Natarajan

Data Leader

What goZealers are saying

Atchaya Technical Blog/Content Writer

Dharani Technical Blog/Content Writer

Sign Up Now and Boost Your Career!

Stay in the know!