Data Science Fundamentals with Python and SQL Specialization

Colleagues, in the “Data Science Fundamentals with Python and SQL Specialization” you will develop hands-on experience with Jupyter, Python, SQL. Perform Statistical Analysis on real data sets. Gain skills with: Data Science Tools such as Jupyter Notebooks, R Studio, GitHub, Watson Studio. Python programming basics including data structures, logic, working with files, invoking APIs, and libraries such as Pandas and Numpy. Statistical Analysis techniques including  Descriptive Statistics, Data Visualization, Probability Distribution, Hypothesis Testing and Regression. Relational Database fundamentals including SQL query language, Select statements, sorting & filtering, database functions, accessing multiple tables. You will acquire high-demand skills with Data Analysis, Probability and Statistics, Python Programming, General Statistics, Mathematical Theory and Analysis, Statistical Programming, Data Visualization, and Computer Programming. The specialization consists of 5 self-paced online courses that will provide you with the foundational skills required for Data Science, including open source tools and libraries, Python, Statistical Analysis, SQL, and relational databases. This program is ACE® recommended—when you complete, you can earn up to 8 college credits. Training lessons address: 1) Tools for Data Science, 2) Python for Data Science, AI & Development, 3) Python Project for Data Science, 4) Statistics for Data Science with Python, and 5) Databases and SQL for Data Science with Python. 

Enroll today (teams & executives are welcome): https://imp.i384100.net/R5q1Xy  

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) 

Applied Data Science Specialization (IBM)

Colleagues, in the “Applied Data Science Specialization” you will learn Python, analyze and visualize data. Apply your skills to data science and machine learning. Develop an understanding of Python fundamentals. Gain practical Python skills and apply them to data analysis. Communicate data insights effectively through data visualizations. Create a project demonstrating your understanding of applied data science techniques and tools. Acquire highly marketable skills in Python Programming, Data Analysis, and Machine Learning. This 5-course Specialization will give you the tools you need to analyze data and make data driven business decisions leveraging computer science and statistical analysis. This program is ACE® recommended—when you complete, you can earn up to 12 college credits. In the Applied Learning Project you will extract and graph financial data with the Pandas Python library., wrangle data, graph plots, and create regression models to predict housing prices with Python libraries, including NumPy, and Sklearn, and create visualizations and a dynamic Python dashboard with treemaps and line plots using libraries such as Matplotlib, Seaborn, and Plotly Dash to monitor, report, and improve US domestic flight reliability. Training modules include: 1) Python for Data Science, AI and Development, 2) Python Project for Data Science, 3) Data Analysis with Python, 4) Data Visualization with Python, and 5) Applied Data Science Capstone.

Enroll today (teams & executives are welcome): https://imp.i384100.net/xLQy41 

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)

Google Cloud Database Engineer Specialization

Colleagues, in the “Google Cloud Database Engineer Specialization” you will learn the skills needed to be successful in a cloud database engineer role, prepare for the Professional Cloud Database Engineer certification exam, plan, execute, test, and monitor enterprise database migrations to Google Cloud, and migrate and manage Cloud SQL, Cloud Spanner, and Bigtable databases. Acquire highly marketable skills involving Databases, Cloud Computing, Google Cloud Platform, Data Management, and SQL. This learning path guides you through a curated collection of on-demand courses, labs, and skill badges that provide you with real-world, hands-on experience using Google Cloud technologies essential to the Database Engineer role. Applied Learning Project: Incorporates labs using the Qwiklabs platform. These components will let you gain practical hands-on experience with the concepts explained in the video modules. In addition, you will learn about and practice working with Google Cloud databases such as Cloud SQL, Cloud Spanner, and Bigtable. Skill-based training modules include: 1) A Tour of Google Cloud Hands-on Labs, 2) Google Cloud Fundamentals: Core Infrastructure, 3) Cloud SQL for MySQL: Qwik Start, 4) Migrating to Cloud SQL from Amazon RDS for MySQL Using Database Migration Service, 5) Migrating On-premises MySQL Using a Continuous Database Migration Service Job, 6) Migrate to Cloud SQL for PostgreSQL using Database Migration Service, 7) Connect an App to a Cloud SQL for PostgreSQL Instance, 8) Securing a Cloud SQL for PostgreSQL Instance, 9) Configure Replication and Enable Point-in-Time-Recovery for Cloud SQL for PostgreSQL, 10) Cloud Spanner - Loading Data and Performing Backups, 11) Cloud Spanner - Defining Schemas and Understanding Query Plans, 12) Deploy a Modern Web App connected to a Cloud Spanner Instance, and 13) Enterprise Database Migration. 

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

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) 

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)