Data Analysis Bootcamp
Are you ready to take your data analysis skills to the next level? Our 12 Weeks Data Analysis Bootcamp is designed to provide you with a comprehensive understanding of Python, SQL, and advanced data analysis techniques. Whether you're a beginner or looking to deepen your existing skills, this boot camp will equip you with the tools and knowledge needed to excel in the data-driven world.
We have two plans for this training.
The weekend plan: Friday 2hrs (6-8pm) sat 4hrs(1-5pm) sun(6-7pm) 1hr
The weekday plan: 2hrs(Mon to wed) 6-8pm Thurs 1hr 6-7pm
Weekend plan: 2nd of August - 20th of October 2024
Weekday plan: 5th of August - 30th of October 2024
Duration: 12 weeks
Why Enroll in Our Bootcamp?
- Expert Instructors: Learn from industry experts with years of experience in data analysis and teaching.
- Hands-on Learning: Engage in practical projects and real-world scenarios to apply what you learn.
- Comprehensive Curriculum: Covering Python, SQL, data visualization, and more.
- Flexible Schedule: Attend live weekend online classes or weekday sessions.
- Networking Opportunities: Connect with peers and professionals in the field.
- Career Support: Receive guidance on building your portfolio, preparing for job interviews, and more.
How to Register:
Ready to start your data analysis journey? Register for our bootcamp by clicking on the link below.
For more information, contact us at info@realcaretechmark.com
Curriculum
- 12 Sections
- 50 Lessons
- 0 Quizzes
- 0m Duration
Introduction to Data Analysis
- Intro to Data Analysis and get to know and possibilities with python
- Introduction to python
- Python syntax, comments, docstrings etc.
- Python Data types
- Python string operations
- Inbuilt python functions
- Flow Control Statements
- What's wrong with this syntax exercises/ Difference between Data types exercise
- List, Tuples, Dictionary Data structure continuation and conditional loops
- Revise Basic Python concepts and 2 problems
Python Basics
- Python Functions
- Lambda, Map, Apply
- Python Modules and File Handling
- Python Buffer for remaining elements based on pace of class
- File handling exercise and Function exercises
Advance Python
- Basics of Object Oriented Programming
- Classes and Objects
- Inheritance and Polymorphism
- Python decorators
- Advance Python Exercises
- Abstract Classes
- Best coding practices with object oriented programming
- Logic Building Leetcode Problems
Numpy
- Numpy exercises
- Installation of MySQL workbench and Presentation
Pandas
- Pandas exercises
- Pandas time series
Introduction to Statistics in Python
- Statistics, Scipy basics
- Scipy basics and List comprehension
- List comprehension exercises
- Time Complexity and sorting algorithms
Cleaning, Joining and Transforming Data using REGEX
- Data cleaning using inbuilt python methods
- Intro to REGEX
- Regex Exercises
- Modification and compilation flags
Data Collection
- Introduction to API
- Understanding HTTP requests
- NY times API
- Short demonstration of Oanda's live API
Data Visualisation (MatPlotLib)
- Figures and Subplots
- Pie Charts
- Matplotlib and Pandas Dataframe
- Line, Bar, Histogram
- Data Visualisation 3
- Data Visualisation for Time series
- Best data visualisation practices
Introduction to SQL
- Installation of MySQL workbench and Presentation
- SQL 1
- SQL Exercises 1
- SQL 2