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Mastering Python for Data Analytics and Visualization Expert


DATA ANALYTICS, SCIENCE, & VISUALIZATION

Using Python-Pandas, Numpy, Matplotlib, Seaborn, & AZURE SQL


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Mastering Python for Data Analytics and Visualization

Using Python - Pandas, Numpy, Matplotlib, Seaborn AND AZURE SQL

  • Python Foundations for Data Analysis & Business Intelligence. Master the building blocks of base Python, including data types, variables, loops, functions. Learn how to use Jupyter Notebooks to write, manage, and comment your Python code Analyze and manipulate numeric data, text strings, lists, tuples, dictionaries and sets. Explore raw data using conditional logic, nested loops, custom functions, and comprehensions. Use Python's Openpyxl package to read & write data to Excel worksheets. Build solid, foundational Python skills for data analysis & business intelligence.
  • Data Analysis Using Python with NumPy and Pandas. GreaterHeight's experienced professionals created this training to match the current industry requirements and demands. Our Data Analytics Expert program with Python Certification takes a training from fundamentals to advanced topics like Pandas, Numpy, and machine learning, it suits both professionals and beginners.

Who this course is for:

  • This course is for anyone who wants to kickstart their career in Becoming a Data Analytics and Visualization Expert Using Python - Pandas, Numpy, Matplotlib, Seaborn AND AZURE SQL.
  • his course is for anyone who wants to learn about Python - Pandas, Numpy, Matplotlib, Seaborn AND AZURE SQL
  • Data Visualization Using Python with Matplotlib and Seaborn. Python has a lot of libraries for visualizing data, out of which Matplotlib and seaborn are the most common. In this building block we construct the plots defined in Data Visualization Theory and Best Practices with both Matplotlib and seaborn.
  • Data Analysis Using Azure SQL (Self-Paced). Azure Analysis Services is a fully managed platform as a service (PaaS) that provides enterprise-grade data models in the cloud. Use advanced mashup and modeling features to combine data from multiple data sources, define metrics, and secure your data in a single, trusted tabular semantic data model. The data model provides an easier and faster way for users to perform ad hoc data analysis using tools like Power BI and Excel.
  • Bonus: Power BI (Self-Paced). The key knowledge needed for PowerBI Data Analyst are Ingest, clean, and transform data.

Course Benefits & Key Features

The Benefits and the Key Features of Mastering Python for Data Analytics and Visualization; 

Using Python - Pandas, Numpy, Matplotlib, Seaborn AND AZURE SQL.

Modules

30+ Modules.

Lessons

80+ Lessons

Practical

40+ Hands-On Labs

Life Projects

5+ Projects

Resume

CV Preparations

Job

Jobs Reference

Recording

Session Recording

Interviews

Mock Interviews

Support

On Job Supports

Membership

Membership Access

Networks

Networking

Certification

Certificate of Completion


INSTRUCTOR-LED LIVE ONLINE CLASSES

Our learn-by-building-project method enables you to build

practical or coding experience that sticks. 95% of our                        

learners say they have confidence and remember more               

when they learn by building real world projects which is                

required to work in your real life.


  • Get step-by-step guidance to practice your skills without getting stuck
  • Validate your technical problem-solving skills in a real environment
  • Troubleshoot complex scenarios to practice what you learned
  • Develop production experience that translates into real-world
.

Why Mastering Python for Data Analytics and Visualization?

Learn In-demand Skills

Those with careers in data analysis learn relevant in-demand skills that span industries and add value to every digital-enabled organization.


Earn a Higher Salary

Experienced data analysts can earn up to $112,000 per year and transition into higher-paying jobs as Senior Data Analysts, Data Scientists, or Analytics Managers.

Positive Job Outlook

The data analytics market is predicted to hit $132.90 Billion USD by 2026. COVID-19 pandemic accelerated the adoption of data analytics solutions and services.

Shape the Future

Data analysts transform organizations by capitalizing on data to improve their business decisions and solve critical real-world problems.

Become a Leader

Being a central part of an organization’s decision-making processes, analytics experts often pick up strong leadership skills as well.

Data Analysis are Constantly Evolving

Data analysis moves quickly, and data analysts are constantly learning and advancing in their careers.




GreaterHeight Certificates holders are prepared to work at companies like these.

Some Alumni Testimonies

Investing in the course "Become a Data Analyst" with GreaterHeight Academy is great value for the money and I highly recommend. The trainer is very knowledgeable, very engaging, provided us with quality training sessions on all courses and was easily acessible for queries. We also had access to the course materials and also the timely availability of the recorded videos made it easy and aided the learning process..

QUEEN OBIWULU

Team Lead, Customer Success

The training was fantastic, the instructor is an awesome lecturer, relentless and not tired in his delivery. He obviously enjoys teaching, it comes natural to him. We got more than we expected. He extended my knowledge of Excel beyond what I knew, and the courses were brilliantly delivered. They reach out, follow up, ask questions, and in fact the support has been great. They are highly recommended and I would definitely subscribe to other training programs from them.

BISOLA OGUNRO

Fraud Analytics Risk Oversight Manager

It's one thing to look for just a Data Analysis training, and it's another to get the knowledge transferred through certified professional trainers. No matter your initial level of proficiency in any of the Data Analysis tools, GreaterHeight Academy would meet you there and take you up to a highly proficienct and confident level in a short time at a reasonable pace. I learnt a lot of Data Analysis tools and skills at GreaterHeight from patient and resourceful teachers.

TUNDE MEREDITH

Operation Director - Abbfem Technology

The Data Analysis training program was one of the best I have attended. The way GreaterHeight took off with Excel and concluded the four courses with Excel was a mind blowing - it was WOW!! I concluded that I'm on the right path with the right mentor to take me from a novice to professional. GreaterHeight is the best as far as impacting Data Analysis knowledge is concern. I would shout it at the rooftop to recommend GreaterHeight to any trainee that really wants to learn.

JOHN OSI PETER

Greaterheight

I wanted to take a moment to express my deepest gratitude for the opportunity to study data analytics at GreaterHeight Academy. I am truly impressed by the level of dedication and support that the sponsor and CEO have put into this program. GreaterHeight Academy is without a doubt the best tech institution out there, providing top-notch education and resources for its students. One of the advantages of studying at GreaterHeight Academy is the access to the best tools and technologies in the field. 

AYODELE PAYNE

Sales/Data Analyst

It is an unforgettable experience that will surely stand the test of time learning to become a Data Analyst with GreaterHeights Academy. The Lecture delivery was so impactful and the Trainer is vast and well knowledgeable in using the applicable tools for the Sessions. Always ready to go extra mile with you. The supports you get during and after the lectures are top notch with materials and resources available to build your confidence on and off the job.

ADEBAYO OLADEJO

Customer Service Advisor (Special Operations)

About Mastering Python for Data Analytics and Visualization


GreaterHeight's Data Analytics experts came up with an extensive Program with 5 Courses, 120+ Hours of Interactive Learning, and 5+ Projects and 30+ Assignments. Our training provides advanced developments of expertise in cleaning, transforming, and modelling data to obtain insight into massive datasets in order to uncover and extract important information for visualization and corporate decision making as a Senior Data Analyst - Data Analytics, Science, & Visualization Using Python - Pandas, Pandas, Numpy, Matplotlib, Seaborn AND AZURE SQL.



Mastering Python for Data Analytics and Visualization Courses


Python Foundation For Data Analysis

GreaterHeight's experienced professionals created this training to as a hands-on, project-based course designed to help you master the core building blocks of Python for data analysis and business intelligence.

We'll start by introducing the Python language and ecosystem, installing Anaconda and Jupyter Notebooks where we'll write our first lines of code, and reviewing key Python data types and properties.

From there we'll dive into foundational tools like variables, numeric and string operators, loops, custom functions, and more. You'll learn how to create and manipulate raw data, define conditional logic, loop through Iterables or indices, and extract values stored in a wide variety of data types including dictionaries, lists, tuples, and more.

Throughout the course you'll play the role of a Data Analytics Intern for Maven Ski Shop, the world's #1 store for skis, snowboards and winter gear. Using the skills you learn throughout the course, you'll help the Maven team track inventory, pricing, and sales performance using your Python skills.


WEEK 1-3 | 11 Modules | 10+ Hours | 6 Skills

Course Modules: Why Python for Analytics? | Jupyter Notebooks | Python Data Types | Variables | Numeric Data | Strings | Conditional Logic | Sequence Data Types | Loops | Dictionaries & Sets | Functions.

Course Contents



Data Analysis Using Python With Numpy & Pandas 

Master the essentials of Numpy and Pandas, two of Python's most powerful data analysis packages. Learn how to explore, transform, aggregate and join Numpy and Pandas DataFrames. Analyze and manipulate dates and times for time intelligence and time-series analysis.

Visualize raw data using plot methods and common chart options like line charts, bar charts, scatter plots and histograms. Import and export flat files, Excel workbooks and SQL database tables using Pandas. Build powerful, practical skills for modern analytics and business intelligence. We'll start with a NumPy primer to introduce arrays and array properties, practice common operations like indexing, slicing, filtering and sorting, and explore important concepts like vectorization and broadcasting.

From there we'll dive into Pandas, and focus on the essential tools and methods to explore, analyze, aggregate and transform series and dataframes. You'll practice plotting dataframes with charts and graphs, manipulating time-series data, importing and exporting various file types, and combining dataframes using common join methods.

WEEK 4-6 | 9 Modules | 8+ Hours | 5 Skills

Course Modules: Getting Started | NumPy Primer | Pandas Series | Intro to DataFrames | Aggregating & Reshaping DataFrames | Basic Data Visualization in Python | Analyzing Dates & Times | Importing & Exporting Data | Joining DataFrames.

Course Contents




Data Visualization Using Python with Matplotlib & Seaborn

Tableau is a widely used BI and analytics software trusted by companies like Amazon and Unilever to explore, create, and securely share contextualized data. In this course, you will learn how to build data visualizations, conduct data analyses and adopt best practices of data formatting with Tableau.

With its user-friendly drag-and-drop functionality, Tableau can be used by everyone to quickly clean, analyze, and visualize your team’s data. This course can show you how. You’ll begin the course by understanding Tableau’s fundamental concepts and features, such as how to load data and workbooks and understanding the interface. You will then create your first visualization with Tableau using an Airbnb dataset.

The final course explore best practices for formatting and presenting your data with Tableau, including creating a dual-axis graph, understanding the differences between a worksheet, dashboard, and story, and finally, creating your very first Tableau dashboard. By the end of this course, you’ll have the skills you need to confidently explore Tableau and build impactful data dashboards. Check out our Tableau Fundamentals track to further develop your Tableau skills.

WEEK 7-8 | 5 Modules | 4+ Hours | 3 Skills

Course Modules: Getting Started |Intro to Data Visualization | Matplotlib Fundamentals | Advanced Customization | Visualization with Seaborn.

Course Contents



Data Science With SQL Server and Azure SQL Database Course

With Azure Data Studio to Become a SQL Expert on Queries for your Business Logic for real world problems! Learn how to use SQL for Data Science quickly and effectively with this course! Even if you have zero SQL experience, this course will take you from beginner to mastery.


Data science is a dynamic and growing career field that demands knowledge and skills based on SQL to be successful. This course is designed to provide you with a solid foundation in applying SQL skills to analyze data and solve real business problems.

You will participate in your own personal or professional journey to create a portfolio-worthy piece from start to finish. You will choose your own dataset and develop a project proposal. You will explore your data and perform some initial statistics you have learned through this course. You will uncover analytics for qualitative data and consider new metrics that make sense from the patterns that surface in your analysis. You will put all of your work together in the form of a presentation where you will tell the story of your findings.

WEEK 9-12 | 28 Modules | 10+ Hours | 10 Skills

Course Modules: SQL Course Introduction | Microsoft SQL Server | Azure SQL Database Server | Connecting to Azure SQL Database with SSMS | Connecting to Azure SQL Database with Azure Data Studio | Azure Data Studio Visualization | Azure Studio SQL for Data Analysis | SQL Database basic SSMS | Data Types in SQL | Data Definition Language (DDL) | Data Query Language (DQL) | Data Manipulation Language (DML) | String Functions | DML Operations and Constraints in SQL | Filtering Data with SSMS & T-SQL | Sorting Records with SSMS & T-SQL | Grouping Data with Aggregate Functions for Data Analysis | Data Analysis using SET Operators | Ranking Functions | Advanced Data Analytic Functions with Window Functions | Date & Time Data Type | Comparison Operators | Logical Operators | Data Relationships | JOINS for Multiple table Data Analysis | Import & Export data | Backup and Restore Database | Bonus + Sample Project - Real World Data Analysis SQL Queries.

Course Contents




PowerBI For Data Analytics and Visualization Course

Here, you’ll go from zero to hero as you discover how to use this popular business intelligence platform. Before diving into creating visualizations using Power BI's drag-and-drop functionality, you’ll first learn how to confidently load and transform data using Power Query and the importance of data models, and how to make your reports fully interactive.


You’ll start by looking at some of the fundamentals of Power BI, getting to grips with Data, Model, and Report views. You’ll learn to load data sets, build a data model, and discover how to shape and transform your data with Power Query Editor. As you progress through the course, you’ll have access to hands-on exercises that can hone your skills. You’ll look at various visualizations, sort different data types, and learn to go deeper into reports.

Once you've covered Power BI in general, you can dig into its options for data visualization. Learn to choose the right visual for your dataset and type, how to make changes to follow visualization best practices and tell a strong story with your data, and learn to sort and format your data for clearer storytelling.

WEEK 18-20 | 12 Modules | 10+ Hours | 6 Skills

Course Modules: Course Introduction | Get Data From Different Data Sources | Profile The Data | Clean Transform and Load the Data | Design a Data Model | Develop a Data Model | Optimize Model Performance | Create Reports | Create Dashboards | Enhance Reports to Expose Insights | Perform Advanced Analysis | Manage Datasets.

Course Contents



MASTERING PYTHON FOR DATA ANALYTICS & VISUALIZATION COST


United States

$899.99

United Kingdom

£799.99

Career and Certifications


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FAQs

Mastering Python For Data Analytics Visualization Course

  • Data Analytics is a process of inspecting, cleaning, transforming and modeling data to discover useful information and support decision making to achieve business goals.
  • There are various data analysis qualitative and quantitative methods and analytical or statistical tools used to extract the useful information and translate them into insights to make better business decisions, most of which are covered in the Data Analyst Courses..

  • The data analyst serves as a gatekeeper for an organization’s data so stakeholders can understand data and use it to make strategic business decisions. It is a technical role that requires an undergraduate degree or master’s degree in analytics, computer modeling, science, or math.
  • The business analyst serves in a strategic role focused on using the information that a data analyst uncovers to identify problems and propose solutions. These analysts typically earn a degree in a major such as business administration, economics, or finance.
  • The data scientist takes the data visualizations created by data analysts a step further, sifting through the data to identify weaknesses, trends, or opportunities for an organization. This role also requires a background in math or computer science, along with some study or insight into human behavior to help make informed predictions.

  • Some of the top industries using data analysis include Data Assurance, Retail, Finance, Entertainment, Government and Public sector, Higher Education, Sharing economy services, Sales & Marketing, Agriculture, Business Intelligence, Healthcare, and Data Quality.

  • All our mentors are highly qualified and experience professionals. All have at least 15-20 yrs. of development experience in various technologies and are trained by GreaterHeight Academy to deliver interactive training to the participants.

  • Yes, we do. As the technology upgrades, we do update our content and provide your training on latest version of that technology.

  • All online training classes are recorded. You will get the recorded sessions so that you can watch the online classes when you want. Also, you can join other class to do your missing classes.

  • Yes. But you can also raise a ticket with the dedicated support team at any time. If your query does not get resolved through email, we can also arrange one-on-one sessions with our support team. However, our support is provided for a period of Twelve Weeks from the start date of your course.

  • There is undoubtedly great demand for data analytics as 96% of organizations seek to hire Data Analysts. The most significant data analyst companies that employ graduates who wish to have a data analyst career are Manthan, SAP, Oracle, Accenture Analytics, Alteryx, Qlik, Mu Sigma Analytics, Fractal Analytics, and Tiger Analytics. Professional Data Analyst training will make you become a magician of any organization, and you will spin insights by playing with big data.

A successful data analyst possesses a combination of technical skills and leadership skills.

  • Technical skills include knowledge of database languages such as SQL, R, or Python; spreadsheet tools such as Microsoft Excel or Google Sheets for statistical analysis; and data visualization software such as Tableau or Qlik. Mathematical and statistical skills are also valuable to help gather, measure, organize, and analyze data while using these common tools.
  • Leadership skills prepare a data analyst to complete decision-making and problem-solving tasks. These abilities allow analysts to think strategically about the information that will help stakeholders make data-driven business decisions and to communicate the value of this information effectively. For example, project managers rely on data analysts to track the most important metrics for their projects, to diagnose problems that may be occurring, and to predict how different courses of action could address a problem.

Career openings are available practically from all industries, from telecommunications to retail, banking, healthcare, and even fitness. Without extensive training and effort, it isn't easy to get data analyst career benefits. So, earning our Data Analyst certification will allow you to keep up-to-date on recent trends in the industry.

  • Yes, we do. We will discuss all possible technical interview questions and answers during the training program so that you can prepare yourself for interview.

  • No. Any abuse of copyright is taken seriously. Thanks for your understanding on this one.

  • Yes, we would be providing you with the certificate of completion of the program once you have successfully submitted all the assessment and it has been verified by our subject matter experts.

  • GreaterHeight is offering you the most updated, relevant, and high-value real-world projects as part of the training program. This way, you can implement the learning that you have acquired in real-world industry setup. All training comes with multiple projects that thoroughly test your skills, learning, and practical knowledge, making you completely industry ready.
  • You will work on highly exciting projects in the domains of high technology, ecommerce, marketing, sales, networking, banking, insurance, etc. After completing the projects successfully, your skills will be equal to 6 months of rigorous industry experience.

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