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Data Analytics Bootcamp

Empowering marketers with data analytics to drive impactful results in digital advertising.

  • 100% Online
  • 24 Weeks
  • 18 Hours of Instructor Led Training (ILT)

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Course Enrollment


24 weeks


Online with Instructor-Led Training Sessions


$10,800, installment options available

Start Date

Begins every month. Please enroll now to select your start date.


Data Analytics Bootcamp: Empowering Decision-Makers

Embark on a transformative journey with our Data Analytics bootcamp, spanning 24 weeks of intensive exploration into data and its architectures, from databases to data lakes. Our data analytics courses are meticulously designed to cater to both beginners and seasoned professionals, ensuring a comprehensive learning experience that covers the full spectrum of data analytics. Delve into essential tools like SQL and Python, equipping you with the prowess to load, analyze, and visualize data seamlessly. Master common machine-learning algorithms for predictive analysis and discover the power of Tableau for comprehensive data mining and analysis. By the end of this data analytics training, you'll emerge equipped with the skills to navigate the ever-evolving data landscape and drive impactful insights for success in the digital realm.

Our immersive data analytics certification go beyond classroom learning. You'll gain practical experience through real-world projects, industry-standard tools, and mentorship from seasoned professionals.


Data Analytics Course Overview

At our core, we prioritize personalized guidance through our online data analytics boot camp programs. With small class sizes, we guarantee individual attention and support, allowing you to thrive in our affordable data analytics boot camps. Through hands-on learning and real-world projects, you'll demonstrate your skills to future employers. Benefit from the wisdom of industry experts in our data analytics class, gaining practical insights to prepare you for the field's challenges. From refining your resume to acing interviews, we provide comprehensive support every step of the journey in our data analytics courses. Don't settle for merely learning data analytics; unlock your full potential and become the data-driven professional the world demands with our Data Analytics Bootcamp.

Furthermore, you can gain the necessary skills to build a fulfilling career in the industry through our data analytics certification and data analytics training. With the right certifications and qualifications, you can become an in-demand digital marketing expert, which can lead to a higher salary and rapid career growth.

Upon completion of this credential, you will be able to:

  • Gain knowledge of key performance indicators (KPIs), metrics, and business processes relevant to the industry, enabling effective analysis and interpretation of data.
  • Familiarize with data querying and manipulation using tools like SQL for relational databases or NoSQL databases.
  • Master programming languages such as Python, R, SQL, and others used for data manipulation, analysis, and visualization.
  • Explore data visualization tools like Tableau, Power BI, or Matplotlib for creating clear and insightful visual representations of data.
  • Analyze large and complex datasets to extract meaningful insights and identify trends, patterns, and anomalies.
  • Update yourself on emerging trends, tools, and technologies in the field of data analytics through continuous learning and professional development.
  • Communicate effectively to convey technical findings and insights to non-technical stakeholders clearly and understandably.
  • Think critically and attentively to the details ensuring accuracy and reliability in data analysis and interpretation.

Data Analytics Bootcamp Curriculum

Module 1: Understanding Data Storage, Databases, Data Lakes, and Warehouses

M1.1: Data Storage Fundamentals

Module 2: SQL Queries, Stored Procedures, Cursors, and Functions

M2.1: SQL Immersion: Diving into Databases

M2.2: SQL Crafting: Tables and Data

M2.3: Mastering Advanced SQL Queries

M2.4: SQL Manipulator: Updates, Deletions, and Drops

M2.5: SQL Wizardry: Advanced Techniques

Module 3: Cloud Computing and Its Applications in Data Analytics

M3.1: Cloud Chronicles: Analytics in the Cloud

Module 4: Python Programming, Data Types, Control Structures, and Data Visualization

M4.1: Python Essentials: Starting Your Journey

M4.2: Python Logic: Control Structures and Functions

M4.3: Data Handling with Python

M4.4: Visualizing Data with Python

M4.5: Python Objects: Classes and Structures

M4.6: Python and SQL Integration

M4.7: Exploring Data Interactively with Jupyter

Module 5: Data Quality, Profiling, Cleansing, Standardization, and Validation

M5.1: Mastering Data Quality

Module 6: Data Visualization Principles, chart types, and tools

M6.1: Creating Impactful Data Visualizations

Module 7: Statistical Concepts, Probability, Hypothesis Testing, Correlation, and Regression Analysis

M7.1: Foundations of Statistical Analysis

Module 8: Data Science and Machine Learning for Data Analysts

M8.1: Mastering Numerical Processing with NumPy

M8.2: Mastering Data Frames with Pandas

M8.3: Python for Statistical Analysis

M8.4: Mastering Data Clustering

M8.5: Predictive Artistry: Data Classification

M8.6: Data-Driven Decisions: Predictive Analytics

Module 9: Tableau for Data Visualization, Data Exploration, and Dashboard Creation

M9.1: Mastering Tableau for Data Stories


Subject Matter Expert

Dr. Kris Jamsa


Dr. Kris Jamsa

Dr. Kris Jamsa wrote his first computer program in Algol, using punched cards, while attending the United States Air Force Academy. Since then, he has spent his career wrangling data and programs that use it. Jamsa has a Ph.D. in Computer Science, a second Ph.D. in Education and Masters’ Degrees in Computer Science, Information Security, Project Management, Education, and Business. He is the author of 119 books on all aspects of programming, computing, and data analytics.

Jamsa has strong knowledge of SQL, databases, data lakes, and data warehouses. He is a hands-on data scientist using Python and R. He has been a CTO, CIO, and Executive Vice President of Data Science.

Kris lives with his wife, Debbie, on their ranch in Prescott, Arizona. When he is not in front of a computer screen, you can find him spending time with their horses and dogs.


Pricing - Data Analytics Certification



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