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    Author

    “Your course helped me get my job as a software engineer at Charles Schwab. The course was easy to follow and covered all the material I'd need to nail a leetcode style interview. Thank you!”

    - Mohammed Khan

    Python For Data Analytics and Visualization

    By 2025, there will be 80 trillion gigabytes of data and your skills will be needed to manage and analyze all of it!

    In the next few years 100 trillion+ gigabytes of data will need to be managed and processed and companies such as Apple, Amazon, Facebook and more are willing to pay top dollar to get skilled workers that are able to analyze and get insights from this data.

    Skills to digest vast amounts of data and identify the important elements is very important. Once analyzed, data visualization is needed to tell a story and present the insights in a form that more people can understand the key points and make better decisions faster.

    So together Data Analytics and Data Visualization is critical to companies with large amounts of raw, unorganized data.

    The Python libraries that we will be learning in this course can be broken down into two large categories- Data Analytics and Visualization.

    In Data Analytics we will cover Numpy, Scipy, and Pandas. On the Visualization side we will learn Matplotlib, Seaborn and Ploty. I’m really excited for you to list these libraries on your resume because you’ll see an instant jump in recruiters willing to interview you. This course will get you to the point where you can use these libraries confidently and effectively in the workplace. Completing this course will set you up to learn more advanced topics such as Machine Learning.

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      YOUR INSTRUCTOR for THIS COURSE

      Zain Ashfaq

      My name is Zain from Job Ready Programmer.com and I’ll be your instructor for this course. I’ve been working as a Data Scientist now for most of my career and I’m 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.

      What fellow students have to say about this course?

      "I changed careers in late 2016 from banking to software development. I started off with basic knowledge of HTML, CSS and a bit of Javascript. When I go my first job, I was overwhelmed by the fact that they were using Java with MySQL in the Backend. I had never used this stack before and was barely able to understand what a "Class" was. Your courses in SQL and OOP with Java helped me immensely to navigate the codebase. I could finally "see" the implemented patterns and understand and write my own SQL queries. From then on, I was able to start pumping out features. Fast forward a few years and I am now a Senior Developer. Thank you so much for your courses! It helped me to keep motivated and grow as a developer."

      -Nelson Fleig, Senior Full Stack Developer @ MSVT

      "I wanted to take a moment to share my feedback on the Oracle course I completed under your guidance. The course has been an invaluable experience for me, significantly contributing to my professional growth and enhancing my abilities in the SQL ecosystem. First and foremost, the course provided me with a comprehensive understanding of the database technology stack. From the fundamentals to the advanced concepts, I appreciated the structured approach taken in delivering the course material. The clarity and depth of the content allowed me to grasp complex topics with ease, filling gaps in my knowledge and empowering me to tackle real-world challenges more effectively. In conclusion, I am immensely grateful for the course and the impact it has had on my workplace and career. Once again, thank you for providing such an enriching learning experience. I highly recommend this course to anyone seeking to enhance their Oracle expertise and achieve professional growth."

      -Yantisha P, Data Analyst @ Lets-Viz

      "JRP was a huge help. The beginning where you separated the 2 routes (Analyst vs. Engineer) helped users sift through what they needed to learn. I first wanted to go analyst, which I used to land a job as a Business Analyst at a top fashion company. This showed me how to use SQL and some Python, from start to finish. What I mean by that is you gave clear instructions in a calm voice, on how to get started from scratch (IDE setup, fundamentals, and providing simple case studies). What was REALLY helpful was that you would constantly provide little caveats/hints/tips that only a seasoned engineer/analyst would know. This is very important. I then started your engineer route, and although I did not stick fully through that like I did the analyst route, it was a huge help in getting started with code and its fundamentals as well. I was able to create my own mini-projects, then finally graduated to implementing distributed systems and creating more projects. Finally, with the push from your courses, I started grinding Leetcode to prepare for interviews. The tl;dr here is that your content holds the user's hand early, provides challenging questions for a beginner, and gives information that they wouldn't be able to easily find otherwise on the internet unless they specifically knew what they were asking. In fact, I still to this day refer your jobreadyprogrammer courses to friends who are interested in getting into the programming/analyst route."

      -Zain S, Software Engineer @ Amazon

      "I used Job Ready Programmer to greatly improve my SQL skills and learn new Tableau skills for my current Data Analyst career. I intend to utilize the Java and other courses as I transition my career into a Full Stack Developer."

      -Michelle B, Managed Care & Value Based Analyst @ Eskenazi Health

      When does the course start and finish?

      The course starts now and never ends! It is a completely self-paced online course - you decide when you start and when you finish.

      How long do I have access to the course?

      How does lifetime access sound? After enrolling, you have unlimited access to this course for as long as you like - across any and all devices you own.