Data Scientist with Python Job Preparation Complete Course

Cambridge Open Academy

Certificate of Completion (Hard Copy)

Hard copy certificate - Included

Certificate of Completion (PDF)

Digital certificate - Included

Mock Exam & Final Exam

Included in course price

This program offers advanced machine learning using TensorFlow, SQL for data analysis, Python programming for novices, and specialised training in data manipulation and visualisation. Moreover, you will become proficient with related tools like MySQL and R. In every course, you will be prepared to close the gap between theories and real-world business applications. This will make sure you are ready to take on job responsibilities and handle real-world data difficulties. Isn’t it the best way for you to become a professional data scientist?

Course Curriculum:

» Course 01: Python Basic Programming for Absolute Beginners

• Introduction
• The Must-Have Python Data Science Libraries
• NumPy Mastery: Everything you need to know about NumPy
• DataFrames and Series in Python's Pandas
• Data Cleaning Techniques for Better Data
• Exploratory Data Analysis in Python
• Python for Time-Series Analysis: A Primer
• Python for Data Visualisation: Library Resources, and Sample Graphs
• The Basics of Machine Learning
• Simple Linear Regression with Python
• Multiple Linear Regression with Python
• Classification Algorithms: K-Nearest Neighbors
• Classification Algorithms: Decision Tree
• Classification Algorithms: Logistic regression
• Clustering
• Recommender System
• Conclusion

» Course 02: Intermediate Python Coding

• Module 01: Python basic recap
• Module 02: Deep dive into Loops
• Module 03: Deep dive into functions
• Module 04: OOP concepts
• Module 05: Built-in modules
• Module 06: File and Exception Handling
• Module 07: Using python packages(Numpy)
• Capstone Project

» Course 03: Python & TensorFlow: Deep Dive into Machine Learning

• Introduction to Machine & Deep Learning
• Basics of TensorFlow & Installation
• Machine Learning Part 1: Supervised Learning
• Machine Learning Part 2: Unsupervised Learning
• Deep Learning Basics with Tensorflow: Neural Networks
• Model Evaluation & Optimization
• TensorFlow for Production
• Project: Image Classification
• Conclusion

» Course 04: SQL for Data Science, Data Analytics and Data Visualization

• Section 01: Getting Started
• Section 02: SQL Server setting up
• Section 03: SQL Azure Data Studio
• Section 04: SQL Database basic SSMS
• Section 05: SQL Statements for DATA
• Section 06: SQL Data Structure statements
• Section 07: SQL User Management
• Section 08: SQL Statement Basic
• Section 09: Filtering Data rows
• Section 10: Aggregate functions
• Section 11: SQL Query statements
• Section 12: SQL Group by statement
• Section 13: JOINS for Multiple table Data Analysis
• Section 14: SQL Constraints
• Section 15: Views
• Section 16: Advanced SQL commands
• Section 17: SQL Stored procedures
• Section 18: Azure Data Studio Visualization
• Section 19: Azure Studio SQL for Data Analysis
• Section 20: Import & Export data
• Section 21: Backup and Restore Database

» Course 05: Learn MySQL from Scratch for Data Science and Analytics

• Introduction
• Basics of MySQL Query – Part 1
• Basics of MySQL Query (Operators) – Part 2
• Basics of MySQL Query – Part 3
• Join in MySQL

and more with other courses.

Our Specialised Delivery Method:

• Learn by Doing: Interactive activities keep you engaged.
• Go Mobile: Works on any device, no downloads needed.
• Easy to Use: Simple design for all learners.
• Track Progress: Stay motivated with clear progress tracking.
• Visually Appealing: Enjoyable learning experience.

Join us today to unlock the potential of your Python skills and elevate your career to new heights.

The "Data Scientist with Python Job Preparation Complete Course” invites the following types of learners to gain professional skills:

• Prospective data scientists or machine learning engineers
• Recent graduates hoping to work in the data science field
• IT professionals hoping to move into machine learning or data analytics positions
• Analysts looking to improve their Python and data visualisation abilities
• Business professionals hoping to make decisions based on data
• Students interested in a career in machine learning or data science

However, this course is designed to suit anyone enthusiastic about Python and data science without prior related experience.

• No prior knowledge needed
• Compatible with any internet-enabled device, including computers, tablets, and smartphones.
• Consistent learning experience
• Accessible anywhere, anytime
• No limitations on access
• Use Wi-Fi or mobile data

After finishing the course, you can advance your profession. Look into jobs like:

• Junior Data Scientist with Python – £30k to £45k
• Data Analyst progressing to Data Scientist with Python – £28k to £40k
• Machine Learning Associate – £40k to £55k
• Mid-Level Data Scientist with Python – £50k to £70k
• Senior Data Scientist with Python – £70k to £90k
• Lead Data Scientist with Python – £90k to £120k

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