[yith_currency_shortcode slug="list-select"]

Data Analysis (for regulars)

This curriculum provides a strong foundation in both the technical aspects of data analytics and the practical skills needed to build full-stack applications. Students will gain hands-on experience with a wide range of tools and technologies, preparing them for real-world data analytics challenges.

250,000.00 / month for 2 months and a 50,000.00 sign-up fee

-
+

Description

Data Analytics Cohort (Regular)

Duration: 8 Weeks

 

– Weeks 1-2: Python and Pandas for Data Manipulation
– Goals: Master data manipulation and analysis using Python and Pandas. Understand data structures, data cleaning, and preliminary data analysis techniques.
– Milestone: Complete a series of exercises to manipulate and prepare datasets for analysis.

 

Weeks 3-4: SQL for Data Storage and Retrieval
– Goals: Learn to use SQL for managing databases, executing queries, and retrieving data. Explore relational database concepts and practice writing complex SQL queries.
– Milestone: Design and query a database using SQL to solve a specific data retrieval problem.

 

Weeks 5-6: Building Full-Stack APIs
– Goals: Dive into backend development with Flask API for Python to create RESTful APIs. Introduction to Node.js for building scalable network applications.
– Milestone: Develop a simple RESTful API with Flask that interacts with a SQL database, and a basic application using Node.js that can consume this API.

 

Weeks 7: Data Visualization with Grafana or Tableau
– Goals: Learn the fundamentals of data visualization and how to use Grafana or Tableau for creating interactive dashboards and reports.
– Milestone: Create a dashboard that visualizes data processed by your Flask API, showcasing key insights.

 

Week 8: Capstone Project and Review
– Goals: Apply all learned skills to develop a full-stack data analytics project. This includes data collection and processing with Python and Pandas, data storage and retrieval with SQL, an API built with Flask, and visualization with Grafana or Tableau.
– Milestone: Present a comprehensive project that demonstrates the ability to build and deploy a full-stack data analytics application.

 

 

Reviews

There are no reviews yet.

Be the first to review “Data Analysis (for regulars)”

Your email address will not be published. Required fields are marked *

Vendor Information

At TSC, we strive for complete customer satisfaction. If you are not entirely happy with your purchase, here is our refund policy:

  1. Eligibility Window: Refund requests must be made within 14 days of purchase.

  2. Condition for Digital Products: For digital products, refunds are only possible if you have not downloaded or accessed the product.

  3. Physical Products: Must be returned in their original condition and packaging.

  4. Processing: Refunds will be processed within 7 business days after receiving and inspecting the return.

Please note, certain items may be exempt from our refund policy. Contact our support for specific queries.

Product Enquiry

Your personal data will be used to support your experience throughout this website, to manage access to your account, and for other purposes described in our privacy policy

Menu
Social Media
Powered by VisualHQ

Log In To Your Account