Data Visualization with Python (training)

Colleagues join over 311k students enrolled online in the “Data Visualization with Python” program. You will learn to: Implement data visualization techniques and plots using Python libraries, such as Matplotlib, Seaborn, and Folium to tell a stimulating story. Create different types of charts and plots such as line, area, histograms, bar, pie, box, scatter, and bubble. Create advanced visualizations such as waffle charts, word clouds, regression plots, maps with markers, & choropleth maps. Generate interactive dashboards containing scatter, line, bar, bubble, pie, and sunburst charts using the Dash framework and Plotly library. You will also learn to create various types of basic and advanced graphs and charts like: Waffle Charts, Area Plots, Histograms, Bar Charts, Pie Charts, Scatter Plots, Word Clouds, Choropleth Maps, and many more! You will also create interactive dashboards that allow even those without any Data Science experience to better understand data, and make more effective and informed decisions. You will learn hands-on by completing numerous labs and a final project to practice and apply the many aspects and techniques of Data Visualization using Jupyter Notebooks and a Cloud-based IDE. You will use several data visualization libraries in Python, including Matplotlib, Seaborn, Folium, Plotly & Dash. Skill-based training modules include: 1) Introduction to Data Visualization Tools, 2) Basic and Specialized Visualization Tools, 3) Advanced Visualizations and Geospatial Data, 4) Creating Dashboards with Plotly and Dash, and 5) Final Project and Exam. 

Enroll today (teams & executives are welcome): https://imp.i384100.net/zxbA5M 

Download your free Data Science  - Career Transformation Guide.

Explore our Data-Driven Organizations Audible and Kindle book series on Amazon:

1 - Data-Driven Decision-Making  (Audible) (Kindle)

2 - Implementing Data Science Methodology: From Data Wrangling to Data Viz (Audible) (Kindle)

Much career success, Lawrence E. Wilson - Data Science Academy (share with your team) 

Microsoft Power BI Data Analyst Professional Certificate (Exam PL-300)

Colleagues, launch your career with the “Microsoft Power BI Data Analyst Professional Certificate (Exam PL-300)”. Build job-ready skills and must-have AI skills for an in-demand career. Earn a credential from Microsoft. No prior experience required. Microsoft Power BI is the leading data analytics, business intelligence, and reporting tool in the field, used by 97% of Fortune 500 companies to make decisions based on data-driven insights and analytics.Learn to use Power BI to connect to data sources and transform them into meaningful insights. Prepare Excel data for analysis in Power BI using the most common formulas and functions in a worksheet. Learn to use the visualization and report capabilities of Power BI to create compelling reports and dashboards. Demonstrate your new skills with a capstone project and prepare for the industry-recognized Microsoft PL-300 Certification exam. You will acquire highly marketable skills involving Generative AI in Power BI, Data Analysis, Microsoft Excel, SQL, Power BI and Power Query. Lessons in this program will equip you in: 1) Preparing Data for Analysis with Microsoft Excel, 2) Harnessing the Power of Data with Power BI, 3) Extract, Transform and Load Data in Power BI, 4) Data Modeling in Power BI, 5) Data Analysis and Visualization with Power BI, 6) Creative Designing in Power BI, 6) Deploy and Maintain Power BI Assets and Capstone project, and 7) Microsoft PL-300 Exam Preparation and Practice.

Enroll today (teams & executives are welcome): https://imp.i384100.net/0ZLZ7P 

Download your free Data Science  - Career Transformation Guide.

Explore our Data-Driven Organizations Audible and Kindle book series on Amazon:

1 - Data-Driven Decision-Making  (Audible) (Kindle)

2 - Implementing Data Science Methodology: From Data Wrangling to Data Viz (Audible) (Kindle)

Much career success, Lawrence E. Wilson - Data Science Academy (share with your team)

SQL Fundamentals (training)

Colleagues, in the “SQL Fundamentals” program you will master the SQL fundamentals needed for business, learn how to write SQL queries, and start analyzing your data using this powerful language. Gain the fundamental SQL skills you need to interact with and query your data. SQL is a powerful language used by data-driven businesses, large and small, to explore and manipulate their data to extract meaningful insights. In this track, you'll learn the SQL fundamentals you need to level up your data skills. Through hands-on exercises, you’ll discover SQL basics, such as how to structure and query relational databases. As you progress, you’ll use these foundations to quickly summarize and join tables and use window functions and built-in PostgreSQL functions to analyze your data.By the time you finish this track, you’ll have a firm understanding of the SQL essentials and have the confidence to apply them to your own data sets. You’ll be able to start working on a variety of SQL projects and develop your data science portfolio. Skill-oriented training modules include: 1) Introduction to SQL - create and query relational databases using SQL, 2) Intermediate SQL - everything you need to know to analyze data using your own SQL code, 3) Project - Analyzing Students' Mental Health: use your data manipulation skills to perform exploratory data analysis on a dataset around student mental health, 4) Joining Data in SQL - apply relational set theory, and work with subqueries, 5) Data Manipulation in SQL - master the complex SQL queries necessary to answer a wide variety of data science questions and prepare robust data sets for analysis in PostgreSQL, 6) PostgreSQL Summary Stats and Window Functions - create queries for analytics and data engineering with window functions, the SQL secret weapon, 7) Functions for Manipulating Data in PostgreSQL - learn the most important PostgreSQL functions for manipulating, processing, and transforming data, 8) Database Design - design databases in SQL to process, store, and organize data in a more efficient way, and 9) Project - Impact Analysis of GoodThought NGO Initiatives: use SQL to explore and analyze GoodThought NGO's database, uncovering key insights from over 13 years of transformative projects.

Enroll today (teams & executives are welcome): https://datacamp.pxf.io/JKVZJe 

Download your free Data Science  - Career Transformation Guide.

Explore our “Data-Driven Organizations” Audible and Kindle book series on Amazon:

1 - Data-Driven Decision-Making  (Audible) (Kindle)

2 - Implementing Data Science Methodology: From Data Wrangling to Data Viz (Audible) (Kindle)

3 - The Upskill Gambit - Discover the 5 Keys to Your Career and Income Security in the Digital Age (Audible) (Kindle) 

Much career success, Lawrence E. Wilson - Data Science Academy (share with your team)

Introduction to Excel - Training (365 Financial Analyst)

Colleagues, the “Introduction to Excel” program introduces you to practical tools and best practices and combines all the acquired knowledge to solve a real-world problem. We know this system works exceptionally well because hundreds of thousands of users worldwide have provided feedback and expressed satisfaction. The Excel training is ideal for recent graduates, inexperienced young professionals, and analysts a few years into their roles who need to enhance their skills and adopt best practices. Instructor Ned Krastev delivers Excel lessons in a clear, friendly manner—ensuring that students can work proficiently on their own by the course's end. He offers practical insights from his roles at PwC, Coca-Cola, and Infineon Technologies—making him the perfect instructor for Excel beginners. With over a decade of teaching experience and millions of students globally, his courses have proven effective. Join us to master quick Excel navigation with shortcuts and popular functions like VLOOKUP, SUMIF, SUMIFS, INDEX, MATCH, and more. Gain the flexibility to create financial and data analysis reports with pivot tables and Excel functions. Format your work professionally and follow Excel best practices. Earn an Excel certificate recognized by employers and boost your resume. Gain speed, reliability, and competence in Excel. Master Excel through best practices taught by a top global instructor. Format spreadsheets professionally to enhance look and function. Utilize essential Excel tools like functions and pivot tables. Design polished, professional Excel charts. Confidently organize and structure your Excel projects.

Enroll today (teams & executives are welcome): https://tinyurl.com/5xvtmmsd 

Download your free Data Science  - Career Transformation Guide.

Explore our “Data-Driven Organizations” Audible and Kindle book series on Amazon:

1 - Data-Driven Decision-Making  (Audible) (Kindle)

2 - Implementing Data Science Methodology: From Data Wrangling to Data Viz (Audible) (Kindle)

3 - The Upskill Gambit - Discover the 5 Keys to Your Career and Income Security in the Digital Age (Audible) (Kindle) 

Much career success, Lawrence E. Wilson - Data Science Academy (share with your team)

Foundations: Data, Data, Everywhere (Google)

Colleagues, the Foundations: Data, Data, Everywhere program from Google will enable your organization  to improve its processes, identify opportunities and trends, launch new products, and make thoughtful decisions. You’ll be introduced to the world of data analytics through a hands-on curriculum developed by Google. Current Google Data Analysts will instruct and provide you with hands-on ways to accomplish common data analyst tasks using the best tools and resources. Gain an understanding of the practices and processes employed by a junior or associate data analyst in their day-to-day job. - Learn about key analytical skills (data cleaning, data analysis, data visualization) and tools (spreadsheets, SQL, R programming, Tableau) that you can add to your professional toolbox. Learn to Define and explain key concepts involved in data analytics including data, data analysis, and data ecosystems, Conduct an analytical thinking self assessment giving specific examples of the application of analytical thinking, Discuss the role of spreadsheets, query languages, and data visualization tools in data analytics and describe the role of a data analyst with specific reference to jobs. Gain high-demand and highly marketable skills including Spreadsheets, Data Analysis, SQL, Data Visualization and Data Cleansing. Training lessons address: 1) Introducing data analytics and analytical thinking - Data analytics in everyday life, Cassie: Dimensions of data analytics, What is the data ecosystem?, How data informs better decisions, Discover data skill sets, Key data analyst skills, All about thinking analytically, Explore core analytical skills, Data drives successful outcomes, Witness data magic; 2) The Wonderful World of Data - Learn about data phases and tools, Stages of the data life cycle, The phases of data analysis and this program, Molly: Example of the data analysis process, Explore data analyst tools; 3) Set Up Your Data Analytics Toolbox - The ins and outs of core data tools, Make spreadsheets your friends, SQL in action, Angie: Everyday struggles when learning new skills, Become a data viz whiz, Lilah: The power of a visualization; and 4) Become a Fair and Impactful Data Professional - The job of a data analyst, Joey: Path to becoming a data analyst, Tony: Supporting careers in data analytics, The power of data in business, Rachel: Data detectives, Understand data and fairness, Alex: Fair and ethical data decisions, Data analysts in different industries and Samah: Interview best practices.

Enroll today (teams & executives are welcome): http://imp.i384100.net/9gK75j 

Download your free Data Science  - Career Transformation Guide.

Explore our Data-Driven Organizations Audible and Kindle book series on Amazon:

1 - Data-Driven Decision-Making  (Audible) (Kindle)

2 - Implementing Data Science Methodology: From Data Wrangling to Data Viz (Audible) (Kindle)

3 - The Upskill Gambit - Discover the 5 Keys to Your Career and Income Security in the Digital Age (Audible) (Kindle) 

Much career success, Lawrence E. Wilson - Data Science Academy (share with your team)

Introduction to Data Engineering (training)

Colleagues, in the “Introduction to Data Engineering” program you will learn the differences between a data engineer and a data scientist (and how they work together) before finding out more about the tools of the trade, specifically talking about cloud computing and parallel computing. By the end of the second chapter, you’ll understand the applications of SQL and NoSQL, using DataFrames, and why parallel computing is so important. Skill-based training exercises involve: 1) Perform ETL in Hands-on Exercises - how data is extracted, transformed, and loaded to get it ready for analysis and generating insights. At the end of the course, you’ll put all this knowledge into practice by performing and scheduling an ETL process yourself using real-world data, 2) Intermediate Python, 3) Intermediate SQL, 4) Introduction to Data Engineering - explore the differences between a data engineer and a data scientist, get an overview of the various tools data engineers use and expand your understanding of how cloud technology plays a role in data engineering, 5) Data engineering toolbox - learn in detail about different types of databases data engineers use, how parallel computing is a cornerstone of the data engineer's toolkit, and how to schedule data processing jobs using scheduling frameworks, 6) Extract, Transform and Load (ETL) - extract raw data from various sources, transform this raw data into actionable insights, and load it into relevant databases ready for consumption, and 7) Case Study - you will perform and schedule an ETL process that transforms raw course rating data, into actionable course recommendations. 

Enroll today (teams & executives are welcome): https://datacamp.pxf.io/y23DrB 

Download your free Data Science  - Career Transformation Guide.

Explore our Data-Driven Organizations Audible and Kindle book series on Amazon:

1 - Data-Driven Decision-Making  (Audible) (Kindle)

2 - Implementing Data Science Methodology: From Data Wrangling to Data Viz (Audible) (Kindle)

3 - The Upskill Gambit - Discover the 5 Keys to Your Career and Income Security in the Digital Age (Audible) (Kindle) 

Much career success, Lawrence E. Wilson -  Data Science Academy (share with your team)

Ask Questions to Make Data-Driven Decisions (training)

Colleagues, the “Ask Questions to Make Data-Driven Decisions” course is part of Google Data Analytics Professional Certificate. Learn to: Explain how the problem-solving road map applies to typical analysis scenarios.. Discuss the use of data in the decision-making process. Demonstrate the use of spreadsheets to complete basic tasks of the data analyst including entering and organizing data. Describe the key ideas associated with structured thinking. You will build skills in Data Analysis and Spreadsheet Software. By the end of this course, you will: Learn about effective questioning techniques that can help guide analysis. Understand data-driven decision-making and how data analysts present findings. Explore a variety of real-world business scenarios as an example of questioning and decision-making. Discover how and why spreadsheets are an important tool for data analysts. Examine the key ideas associated with structured thinking and how they can help analysts better understand problems and develop solutions. Learn strategies for managing the expectations of stakeholders while establishing clear communication with a data analytics team to achieve business objectives. Skill-based training modules address: 1) Ask effective questions, 2) Make data-driven decisions, 3) Spreadsheet magic, and 4) Always remember the stakeholder.

Enroll today (teams & executives are welcome): https://imp.i384100.net/qzy5Wg  

Download your free Data Science  - Career Transformation Guide.

Explore our Data-Driven Organizations Audible and Kindle book series on Amazon:

1 - Data-Driven Decision-Making  (Audible) (Kindle)

2 - Implementing Data Science Methodology: From Data Wrangling to Data Viz (Audible) (Kindle)

3 - The Upskill Gambit - Discover the 5 Keys to Your Career and Income Security in the Digital Age (Audible) (Kindle) 

Much career success, Lawrence E. Wilson - Data Science Academy (share with your team)