Data Processing with Python
Master using Python for data munging, processing, visualization and exploratory data analysis.
$1,299.00
Upcoming cohort
Jun 25 - Jul 17 2024Meeting time
Tuesday, 10:00AM ETWednesday, 10:00AM ET
Thursday, 10:00AM ET
What will I learn?
- Get hands-on experience with data processing and analysis using Python.
- Learn how to translate everything you do in Excel into Python code.
- Perform advanced data transformations using Python.
- Learn how to do time series analysis in Python.
- Master building insightful visualizations of your data.
- Earn a certificate of completion to show off your new skills on LinkedIn.
Curriculum
Numpy Fundamentals
Pandas Fundamentals
Advanced Pandas I
Advanced Pandas II
Data Visualization with Pandas & Matplotlib
Mini-Project
Why Edlitera?
Build the coding, data and AI skills you need, online, on your own schedule. From learning to code as a beginner to mastering cutting-edge data science, machine learning and AI techniques.
Learning for the real world
Our courses are made with the input and feedback of top teams at Fortune 500 companies in Silicon Valley and on Wall Street.
No-fluff learning
Each minute of each course is packed full of insight, best practices and real-world experience from our expert instructors.
Learn by doing
Start writing code on your computer from Day One. Practice on hundreds of exercises. Apply your skills in mini-projects. Get instant feedback from video solutions.
Complete learning tracks
With over 150 hours of video lectures and hundreds of practice exercises and projects, our learning tracks will help you level up your skills whether you are a novice or an advanced learner.
Course Syllabus
1. INTRODUCTION TO NUMPY
- The ndarray class
- Indexing
- Operations on ndarrays
2. INTRODUCTION TO PANDAS
- Pandas Series
- Pandas DataFrame
- Loading data into Pandas
- Pandas indices and selecting and slicing data
- Adding and dropping data
- Filtering data
- Combining multiple DataFrames
- Sorting DataFrames
- Dealing with missing values
3. ADVANCED PANDAS
- Data transformations and function applications
- String operations and transformations
- Aggregating data by groups
- Automating and repeating data analysis
- Exporting DataFrames
- Pandas best practices
- Handling time series data
4. DATA VISUALIZATION
- Line graphs
- Bar graphs
- Scatter plots
- Heat-maps
- Exporting plots
5. CAPSTONE PROJECT
Frequently Asked Questions
This course is aimed at those who have a basic familiarity with Python and who want to learn to use Python for data processing, munging, visualization and exploratory data analysis (EDA).
Nope. Your instructor is a real live person who talks to you in real time. Imagine you’re enrolled in a remote university course, and you’re attending one of the live classes. That’s the experience you get with this course.
Your fee covers:
· all classes taught live by the instructor via webinar
· materials and resources used in this course
· constant support and direct feedback on your work and progress from our instructors
Yes. Many of our students are employer-sponsored. Check with your employer about tuition reimbursement benefits.
We sure do. Check out our corporate training page for more information on the topics and formats we offer, or shoot us an email at contact@edlitera.com.
After you register for this course, you get a confirmation email. You get a second email containing the details you need to hit the ground running on your first class, including:
· recommended preparation for the first session
· how to join the live classes
Our courses are designed to give you the most effective and flexible learning experience available. If you miss a live session, watch the session recording the following day, and work through the practice assignments as usual. If you get stuck on something, your instructor will be happy to help.
If you get stuck or have questions, your instructor and mentors are always available and happy to help get you unstuck—just ask.
In addition to attending the eight 2-hour instructor-led sessions, you should expect to spend around 2-3 hours per week studying and working on practice problems and projects.
Absolutely. All students, everywhere, are welcome to enroll in this English-language course.
If you registered and paid for a live course on edlitera.com, you may cancel your registration up to 7 days before the course start date and receive a full refund. Email us at contact@edlitera.com to let us know you'd like to cancel your registration. There are no refunds for cancellations made less than 7 days before the start date.
Drop us a note at contact@edlitera.com. We will get back to you ASAP.
What people are saying
"I walked into the bootcamp with some basic Python syntax and walked out with a much stronger, contextualized grasp of Python, an understanding of common mistakes, the ability to solve basic coding problems, and confidence in my ability to learn more."
Randi S., Edlitera Student
"I wanted to learn Python and be able to process data without being tied and limited by Excel and macros. These classes gave me all the tools to do so and beyond. The materials provided, the engagement of the class by the tutors and their availability to help us were excellent."
Gaston G., Edlitera Student
Have a question?
Contact us any time, we’d love to hear from you!