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

Get This Course
For Team Prices Call: +1 (347) 495-3697
$750 $450
Live instructor
  • 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
  • April 3, 4, 5 9:00 AM - 4:30 PM EST
Questions About This Course?
Customize Your Team Training Experience

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

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

  • 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

Anu Natarajan


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

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.

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.

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.

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.

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

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

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

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

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