Python's Essential Libraries: A Practical Guide to Data Analysis and Visualization Mastery
This GitHub Repository will include the Source Code for the Python for Data Mastery: Data Analytics with Top Libraries Course from JRP (Job Ready Programmer)
Checkout our complete course on the following platforms:
- Udemy
- Job Ready Programmer (JRP)
- JRP Membership (Includes Data Analyst & Software Developer Career Paths)
- In the next few years 100 million+ terabytes of data will need to be managed and processed and companies such as Apple, Amazon, Facebook, Google and several AI firms are willing to pay top dollar to get skilled workers that are able to analyze and get insights from this data.
- Immerse yourself in the world of data analytics with our comprehensive course, "Python for Data Mastery" which will help you become a data unlocking wizard using the most popular and in-demand python data analytics and visualization libraries used in most companies such as Numpy, Pandas, Matplotlib, Seaborn, Scipy and Plotly.
- Designed to help both beginners and seasoned professionals, this course bridges the gap between theory and practice, teaching students to manipulate, analyze, and visualize data using Python's most powerful libraries.
- Over hours of meticulously crafted content, the course offers a myriad of practical assignments closely resembling real-world scenarios, ensuring students acquire not just knowledge, but valuable and employable skills.
- Our graduates have gone on to advance their careers in data analysis, machine learning, data engineering, and more.
- Empower yourelf today, and unlock the true potential of your business data.
- Mastery in Python's popular data analytics libraries: Numpy, Pandas, Matplotlib, Seaborn, and Plotly.
- Practical skills in data manipulation, analysis, and visualization techniques.
- Application of statistical concepts in data analysis.
- Efficient handling of large datasets and identifying patterns and trends to forecast trends.
- Creation of powerful data visualizations and dashboards for reporting that speak volumes in the boardroom.
- Writing scalable Python code for data analysis that stands the test of data volume and complexity.
- Translating complex business challenges into analytical solutions that drive decision-making.
- Learn more: jobreadyprogrammer.com
- Email us: info@jobreadyprogrammer.com
- Follow us on Social Media: linktr.ee/jobreadyprogrammer
- Read our articles on Medium - Job Ready Programmer
- Zain from Job Ready Programmer.com will be your instructor for this course.
- He has been working as a Data Scientist now for most of his career and he's really excited to teach you the hottest skills you need to land a job in the data analytics space.
- We will be using Python - one of the most popular programming languages in the world and focus predominantly on it’s data analytics and visualization packages in this course.
- The Data Scientist job role has ranked as the number 1 job for 4 years in a row, and the demand for them is continuously growing as more and more data becomes available for us to analyze.
- This is why the average median salary for a mid-level Data Scientists is upwards of $130,000.
- Imtiaz Ahmad is an award-winning Udemy Instructor who is highly experienced in big data technologies and enterprise software architectures.
- Imtiaz has spent a considerable amount of time building financial software on Wall St. and worked with companies like S&P, Goldman Sachs, AOL and JP Morgan along with helping various startups solve mission-critical software problems.
- In his 13+ years of experience, Imtiaz has also taught software development in programming languages like Java, C++, Python, PL/SQL, Ruby and JavaScript.
- He’s the founder of Job Ready Programmer — an online programming school that prepares students of all backgrounds to become professional job-ready software developers through real-world programming courses.
- Take the twin highway of Learning Data Analysis and Software Development on a single platform: Job Ready Programmer
