Data Analysis (Python, Power BI, SQL, Machine Learning & Data Science) for Data Analyst

Apex Learning

Hard copy certificate

Hard copy certificate - Included

Digital certificate

Digital certificate - Included

Assessment

Included in course price

Begin your journey with Apex Learning right away!

This diploma offers learners the opportunity to acquire the skills that are highly valued in the field of Data Science and Data Analysts. With this Certification, graduates are better positioned to pursue career advancement and higher responsibilities within the Data Science and Data Analyst setting. The skills and knowledge gained from this course will enable learners to make meaningful contributions to Data Science and Data Analysts related fields, impacting their Data Science and Data Analysts experiences and long-term development

★★★ Course Curriculum of Data Science and Data Analysts Bundle ★★★

⇒ Course 01: Python for Data Analysis

• Module 01: Python Essentials
• Module 02: Python for Data Analysis using NumPy
• Module 03: Python for Data Analysis using Pandas
• Module 04: Python for Data Visualization using matplotlib
• Module 05: Python for Data Visualization using Seaborn
• Module 06: Python for Data Visualization using pandas
• Module 07: Python for interactive & geographical plotting using Plotly and Cufflinks
• Module 08: Capstone Project - Python for Data Analysis & Visualization
• Module 09: Python for Machine Learning (ML) - scikit-learn - Linear Regression Model
• Module 10: Python for Machine Learning - scikit-learn - Logistic Regression Model
• Module 11: Python for Machine Learning - scikit-learn - K Nearest Neighbors
• Module 12: Python for Machine Learning - scikit-learn - Decision Tree and Random Forests
• Module 13: Python for Machine Learning - scikit-learn -Support Vector Machines (SVMs)
• Module 14: Python for Machine Learning - scikit-learn - K Means Clustering
• Module 15: Python for Machine Learning - scikit-learn - Principal Component Analysis (PCA)
• Module 16: Recommender Systems with Python - (Additional Topic)
• Module 17: Python for Natural Language Processing (NLP) - NLTK - (Additional Topic)

⇒ Course 02: Data Science & Machine Learning with Python

• Module 01: Introduction to Machine Learning – Part 1 – Concepts , Definitions and Types
• Module 02: Introduction to Machine Learning – Part 2 – Classifications and Applications
• Module 03: System and Environment preparation – Part 1
• Module 04: System and Environment preparation – Part 2
• Module 05: Learn Basics of python – Assignment 1
• Module 06: Learn Basics of python – Assignment 2
• Module 07: Learn Basics of python – Functions
• Module 08: Learn Basics of python – Data Structures
• Module 09: Learn Basics of NumPy – NumPy Array
• Module 10: Learn Basics of NumPy – NumPy Data
• Module 11: Learn Basics of NumPy – NumPy Arithmetic
• Module 12: Learn Basics of Matplotlib
• Module 13: Learn Basics of Pandas – Part 1
• Module 14: Learn Basics of Pandas – Part 2
• Module 15: Understanding the CSV data file
• Module 16: Load and Read CSV data file using Python Standard Library
• Module 17: Load and Read CSV data file using NumPy
• Module 18: Load and Read CSV data file using Pandas
• Module 19: Dataset Summary – Peek, Dimensions and Data Types
• Module 20: Dataset Summary – Class Distribution and Data Summary
• Module 21: Dataset Summary – Explaining Correlation
• Module 22: Dataset Summary – Explaining Skewness – Gaussian and Normal Curve
• Module 23: Dataset Visualization – Using Histograms
• Module 24: Dataset Visualization – Using Density Plots
• Module 25: Dataset Visualization – Box and Whisker Plots
• Module 26: Multivariate Dataset Visualization – Correlation Plots
• Module 27: Multivariate Dataset Visualization – Scatter Plots
• Module 28: Data Preparation (Pre-Processing) – Introduction
• Module 29: Data Preparation – Re-scaling Data – Part 1

⇒ Course 03: Data Science & Machine Learning with R

• Module 01: Data Science and Machine Learning Course Intro
• Module 02: Data Types and Structures in R
• Module 03: Data Types and Structures in R
• Module 04: Intermediate R
• Module 05: Data Manipulation in R
• Module 06: Data Visualization in R
• Module 07: Creating Reports with R Markdown
• Module 08: Building Webapps with R Shiny
• Module 09: Introduction to Machine Learning
• Module 10: Starting A Career in Data Science

=========>>>>> And 27 More Courses <<<<<=========

How will I get my Certificate?

After successfully completing the course, you will be able to order your CPD Accredited Certificates (PDF + Hard Copy) as proof of your achievement.

• PDF Certificate: Free (Previously it was £9.99*30 = £299.7)
• Hard Copy Certificate: Free (For The Title Course: Previously it was £14.99)

Anyone from any background can enrol in this Data Science and Data Analysts bundle.

• Aspiring data analysts
• Data scientists
• Business intelligence professionals
• Financial analysts
• Project managers
• IT professionals

Our Data Science and Data Analysts course is fully compatible with PCs, Macs, laptops, tablets and Smartphone devices.

Having this Data Science and Data Analysts expertise will increase the value of your CV and open you up to multiple job sectors.

• Data Analyst: £30,000 - £50,000
• Data Scientist: £45,000 - £70,000
• Business Intelligence Analyst: £40,000 - £65,000
• Financial Analyst: £35,000 - £60,000
• SQL Database Administrator: £40,000 - £70,000
• Machine Learning Engineer: £50,000 - £80,000

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