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Diploma in Data Science and Data Analytics with Python for Data Analyst
Learndrive

2 Courses Bundle | CPD Accredited | Free Ebook | Lifetime Access | Easy Refund

Summary

Price
£19 inc VAT
Study method
Online
Course format
Video
Duration
4 hours · Self-paced
Access to content
Lifetime access
Qualification
No formal qualification
Certificates
  • Accredited Certificate on Data Analysis Course From Learndrive - Free
Assessment details
  • Final Exam (included in price)
Additional info
  • Tutor is available to students
2 students purchased this course

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Overview

Diploma in Data Science and Data Analytics with Python for Data Analyst

Embark on a transformative journey with our Diploma in Data Science and Data Analytics using Python, meticulously designed for aspiring data analysts. This program lays the foundation with Python programming essentials before advancing to complex Data Analysis and Data Science concepts.

Key Performance Metrics:

  • Master Python fundamentals for Data Analysis and Data Science projects.
  • Proficiency in manipulating Python data types and structures for Data Analysis challenges.
  • Develop robust Python applications with effective error handling for Data Analysis tasks.
  • Harness NumPy for numerical manipulation and Pandas for data analysis in Data Science.
  • Utilise Matplotlib and Python visualization tools for clear data communication.
  • Explore machine learning basics within the Python ecosystem for predictive analysis.
  • Apply Python skills to practical Data Science scenarios for model building and validation.
  • Conduct thorough Exploratory Data Analysis to uncover patterns in data for Data Science.
  • Enhance critical thinking skills for methodical problem-solving in Data Science with Python.

Courses Included:

  • Course 1: Diploma in Python Fundamentals
  • Course 2: Data Science and Data Analytics

Accreditation:

This Data Analysis Diploma is CPDQE accredited, which serves as an impactful mechanism for skill enhancement.

Certificates

Accredited Certificate on Data Analysis Course From Learndrive

Digital certificate - Included

Assessment details

Final Exam

Included in course price

Course 2: Data Science and Data Analytics have final exam

Course media

Resources

  • LearnDrive - Your Trusted eLearning Platform - download

Description

Key Lesson Snippets:

Course 1: Python Fundamentals

  • Introduction to Python: Basics of Python programming, setting the foundation for Data Analysis and Data Science.
  • Working with Data Types: Understanding Python data types essential for Data Science applications.
  • Python Strings & List: Manipulating text and list data structures, crucial for data manipulation in Data Analysis.
  • Python Casting and Input: Techniques for converting data types and handling user input, applicable in Data Analytics.
  • Python Dictionary: Utilizing key-value pairs for efficient data storage and retrieval in Data Science projects.
  • Python Date and Time: Handling temporal data, a common requirement in Data Analysis tasks.
  • Creating a Function: Modularizing code for reusability and simplicity in Data Analysis algorithms.
  • Error Handling: Ensuring robust Data Analysis applications through effective error management.
  • Python File Handling: Reading from and writing to files, a key skill for data processing in Data Science.
  • Python Modules: Utilizing and creating modules to extend Python's capabilities for Data Analysis.

Course 2: Data Science and Data Analytics

  • Introduction to Data Science: Overview of Data Science, understanding its significance in analysing data.
  • Data Science Environment Setup: Configuring the development environment for Data Science and Data Analysis projects.
  • Working with the NumPy Package: Performing numerical computations fundamental to Data Analysis.
  • Working with Pandas Data Science Package: Data manipulation and analysis using Pandas, a cornerstone in Data Science.
  • Data Preprocessing: Techniques for cleaning and preparing data for analysis, a vital step in the Data Science process.
  • Exploratory Data Analysis (EDA): Analysing datasets to summarize their main characteristics, often using visualization.
  • Building Predictive Models: Using Python to create models that predict future trends based on data.
  • Data Visualisation Techniques: Advanced methods for presenting data findings effectively in Data Science projects.

Career path

  • Data analyst
  • Data Scientist
  • Data Analytics Consultant
  • Data science intern
  • Python Data Scientist
  • Python Developer
  • Python Data Analyst

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Legal information

This course is advertised on Reed.co.uk by the Course Provider, whose terms and conditions apply. Purchases are made directly from the Course Provider, and as such, content and materials are supplied by the Course Provider directly. Reed is acting as agent and not reseller in relation to this course. Reed's only responsibility is to facilitate your payment for the course. It is your responsibility to review and agree to the Course Provider's terms and conditions and satisfy yourself as to the suitability of the course you intend to purchase. Reed will not have any responsibility for the content of the course and/or associated materials.

FAQs

Study method describes the format in which the course will be delivered. At Reed Courses, courses are delivered in a number of ways, including online courses, where the course content can be accessed online remotely, and classroom courses, where courses are delivered in person at a classroom venue.

CPD stands for Continuing Professional Development. If you work in certain professions or for certain companies, your employer may require you to complete a number of CPD hours or points, per year. You can find a range of CPD courses on Reed Courses, many of which can be completed online.

A regulated qualification is delivered by a learning institution which is regulated by a government body. In England, the government body which regulates courses is Ofqual. Ofqual regulated qualifications sit on the Regulated Qualifications Framework (RQF), which can help students understand how different qualifications in different fields compare to each other. The framework also helps students to understand what qualifications they need to progress towards a higher learning goal, such as a university degree or equivalent higher education award.

An endorsed course is a skills based course which has been checked over and approved by an independent awarding body. Endorsed courses are not regulated so do not result in a qualification - however, the student can usually purchase a certificate showing the awarding body's logo if they wish. Certain awarding bodies - such as Quality Licence Scheme and TQUK - have developed endorsement schemes as a way to help students select the best skills based courses for them.
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