Course Overview

Learn to Optimize Your Data Analysis Knowledge by using Business Intelligence

What You Will Learn

  • You'll gain a clear understanding of business intelligence and the available tools
  • You’ll learn how to choose the right set of tools to provide a tailor-fit solution
  • You’ll get comfortable with the Python data analysis stack - Pandas, Matplotlib & Seaborn
  • You’ll be able to build your Data Visualization skills with core Tableau Concepts
  • You’ll understand the basics of NumPy, Pandas, and Plotly visualization

Program Curriculum

Content
  • Chapter 1: Getting Started with Business Intelligence
  • Chapter 2: Introduction to Business Intelligence Lifecycle
  • Chapter 3: Introduction to Business Intelligence Models, Tools & Technologies – Part 1
  • Chapter 4: Introduction to Business Intelligence Tools & Technologies – Part2
  • Chapter 5: What’s Next with Business Intelligence

Content
  • Chapter 1: Introduction to the Course
  • Chapter 2: Setting up the Environment
  • Chapter 3: Introduction to NumPy
  • Chapter 4: Introduction to Pandas
  • Chapter 5: Data Wrangling and Visualisation

Content
  • Chapter 1: Case Study 1: Data Understanding and Insights
  • Chapter 2: Case Study 2: Analysis to Aid a Business Objective
  • Chapter 3: Next Steps

Content
  • Chapter 1: Getting Started with Tableau
  • Chapter 2: Handling Data in Tableau
  • Chapter 3: Built in Visuals and Beyond Show Me

Content
  • Chapter 1: Data Analytics in Tableau
  • Chapter 2: Visual Analytics in Tableau

Content
  • Chapter 1: Mastering Calculations in Tableau
  • Chapter 2: Create Your Own Dashboard

Content
  • Chapter 1: Introduction to Python and Setup
  • Chapter 2: Introduction to NumPy
  • Chapter 3: Introduction to Pandas
  • Chapter 4: Plotly Fundamentals
  • Chapter 5: Various Charts
  • Chapter 6: Statistical Charts
  • Chapter 7: Scientific Charts
  • Chapter 8: Financial Charts and 3D Graphs

Content
  • Chapter 1: Introduction
  • Chapter 2: Preparing Our Project
  • Chapter 3: Data Transformation - The Query Editor
  • Chapter 4: Data Transformation - Advanced
  • Chapter 5: Nmap - Creating a Data Model
  • Chapter 6: Data Visualization
  • Chapter 7: Power BI & Python
  • Chapter 8: DAX - The Essentials
  • Chapter 9: DAX - The CALCULATE Function
  • Chapter 10: Tell a Story with Your Data - Learn to Visualize Effectively
  • Chapter 11: Power BI Service - Power BI Cloud
  • Chapter 12: Row-Level Security
  • Chapter 13: More Data Sources
  • Chapter 14: Next Steps to Improve & Stay up to Date

Content
  • Chapter 1: Introduction to MicroStrategy
  • Chapter 2: Creating Visualizations in MicroStrategy
  • Chapter 3: Formatting in MicroStrategy
  • Chapter 4: Miscellaneous Topics in MicroStrategy
  • Chapter 5: MicroStrategy - Advanced Charts
  • Chapter 6: Filters in MicroStrategy
  • Chapter 7: Dashboards in MicroStrategy
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Instructor

Nikolai Schuler

Nikolai Schuler is a data scientist and BI consultant. While going through hours of research and training, Nikolai came up with the idea of creating a course that would offer extremely valuable content but that would be at the same time easy to follow due to its structure. His goal is to help as many people as possible to pursue their desired career in this new Digital Age by enabling them to upgrade their data analysis skills. I am proud to say that he is heading in the right direction as his courses have already found their audience in over 170 countries and received thousands of positive feedbacks.

Ankit Shukla

Ankit Shukla is a self-taught data scientist working in the data space since 2014. He is well versed in deep learning, machine learning and Big Data technologies and holds a bachelor’s in engineering from Birla Institute of Technology, Mesra with a major in Biotechnology. His focus areas include Predictive Modelling, Recommender Systems and Natural Language Processing. He is deeply passionate about data science and is always on a look out to give back to the community. His other published works include a paper on developing an enterprise recommender system, 2 papers on Generative Adversarial Networks and the book - Big Data Analysis with Python.

Avdhesh Gaur

Avdhesh Gaur is a Data Analyst, instructor, author, storyteller, speaker, and consultant as well when it comes to bringing insights out of data and visualizing the same. His career spans more than 7 years with a focus on taking down various business requirements by building Data-driven BI models using Tableau, SQL, Hive, and numerous Statistical data analysis Techniques. Avdhesh Gaur got one of his submissions to Tableau accepted on 7th January 2019. On average, only 1 out of every 10000 tableau public profile holders can achieve this feat marking him under the top 0.01% of the profound Tableau Authors, when it comes to creating efficient dashboards with tableau. Even though, He has authored numerous courses covering the fundamentals of data visualization. There was a time when he couldn't figure out, what’s something new that he can do tomorrow. That's why he feels immense joy in creating and sharing the content that can help us learn something new each day. LinkedIn: https://www.linkedin.com/in/avdheshgaur/ Tableau Public: https://public.tableau.com/profile/avdhesh.gaur

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Optimizing Data Analytics with Business Intelligence

Optimizing Data Analytics with Business Intelligence