Data Analytics with Tableau
Autumn Sale Now On | 14-in-1 Bundle| CPD Certified| 165 CPD Points| Gifts: Hardcopy + PDF Certificate + SID - Worth £180
Apex Learning
Summary
- Certificate of completion - Free
- Certificate of completion - Free
- Exam(s) / assessment(s) is included in price
- Tutor is available to students
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Overview
Tired of browsing and searching for a Data Analysis and Data Science course you are looking for? Can't find the complete package that fulfils all your needs? Then don't worry as you have just found the solution. Take a minute and look through this extensive bundle that has everything you need to succeed.
After surveying thousands of learners just like you and considering their valuable feedback, this all-in-one Data Analysis and Data Science bundle has been designed by industry experts. We prioritised what learners were looking for in a complete package and developed this in-demand Data Analysis and Data Science course that will enhance your skills and prepare you for the competitive job market.
Also, our experts are available for answering your queries on Data Analysis and Data Science and help you along your learning journey. Advanced audio-visual learning modules of these Data Analysis and Data Science courses are broken down into little chunks so that you can learn at your own pace without being overwhelmed by too much material at once.
Furthermore, to help you showcase your expertise in Data Analysis and Data Science, we have prepared a special gift of 1 hardcopy certificate and 1 PDF certificate for the title course completely free of cost. These certificates will enhance your credibility and encourage possible employers to pick you over the rest.
This Data Analysis and Data Science Bundle Consists of the following Premium courses:
- ⇒ Course 01: Introduction to Data Analysis
- ⇒ Course 02: Python for Data Analysis
- ⇒ Course 03: Statistical Analysis
- ⇒ Course 04: SQL NoSQL Big Data and Hadoop
- ⇒ Course 05: Complete Microsoft Power BI 2021
- ⇒ Course 06: Data Analysis in Excel Level 3 Course
- ⇒ Course 07: Data Analytics with Tableau
- ⇒ Course 08: Basic Google Data Studio
- ⇒ Course 09: Business Analytics
- ⇒ Course 10: Complete Introduction to Business Data Analysis Level 3
- ⇒ Course 11: Business Intelligence and Data Mining Masterclass
- ⇒ Course 12: Research Methods in Business
- ⇒ Course 13: Computer Science: Graph Theory Algorithms
- ⇒ Course 14: Data Protection and Data Security Level 2
Enrol now in Data Analysis and Data Science to advance your career, and use the premium study materials from Apex Learning.
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 (For The Title Course)
- Hard Copy Certificate: Free (For The Title Course)
Certificates
Certificate of completion
Digital certificate - Included
You will get the PDF Certificate for the title course (Introduction to Data Analysis) absolutely Free!
Certificate of completion
Hard copy certificate - Included
You will get the Hard Copy certificate for the title course (Introduction to Data Analysis) absolutely Free! Other Hard Copy certificates are available for £10 each.
Please Note: The delivery charge inside the UK is £3.99, and the international students must pay a £9.99 shipping cost.
CPD
Course media
Description
The bundle incorporates basic to advanced level skills to shed some light on your way and boost your career. Hence, you can strengthen your Data Analysis and Data Science expertise and essential knowledge, which will assist you in reaching your goal.
Curriculum of Bundle
⇒ Course 01: Introduction to Data Analysis
- Module 01: Introduction
- Module 02: Agenda and Principles of Process Management
- Module 03: The Voice of the Process
- Module 04: Working as One Team for Improvement
- Module 05: Exercise: The Voice of the Customer
- Module 06: Tools for Data Analysis
- Module 07: The Pareto Chart
- Module 08: The Histogram
- Module 09: The Run Chart
- Module 10: Exercise: Presenting Performance Data
- Module 11: Understanding Variation
- Module 12: The Control Chart
- Module 13: Control Chart Example
- Module 14: Control Chart Special Cases
- Module 15: Interpreting the Control Chart
- Module 16: Control Chart Exercise
- Module 17: Strategies to Deal with Variation
- Module 18: Using Data to Drive Improvement
- Module 19: A Structure for Performance Measurement
- Module 20: Data Analysis Exercise
- Module 21: Course Project
- Module 22: Test your Understanding
⇒ Course 02: Python for Data Analysis
- Welcome, Course Introduction & overview, and Environment set-up
- Python Essentials
- Python for Data Analysis using NumPy
- Python for Data Analysis using Pandas
- Python for Data Visualization using matplotlib
- Python for Data Visualization using Seaborn
- Python for Data Visualization using pandas
- Python for interactive & geographical plotting using Plotly and Cufflinks
- Capstone Project - Python for Data Analysis & Visualization
- Python for Machine Learning (ML) - scikit-learn - Linear Regression Model
- Python for Machine Learning - scikit-learn - Logistic Regression Model
- Python for Machine Learning - scikit-learn - K Nearest Neighbors
- Python for Machine Learning - scikit-learn - Decision Tree and Random Forests
- Python for Machine Learning - scikit-learn -Support Vector Machines (SVMs)
- Python for Machine Learning - scikit-learn - K Means Clustering
- Python for Machine Learning - scikit-learn - Principal Component Analysis (PCA)
- Recommender Systems with Python - (Additional Topic)
- Python for Natural Language Processing (NLP) - NLTK - (Additional Topic)
⇒ Course 03: Statistical Analysis
- Module 01: The Realm of Statistics
- Module 02: Basic Statistical Terms
- Module 03: The Center of the Data
- Module 04: Data Variability
- Module 05: Binomial and Normal Distributions
- Module 06: Introduction to Probability
- Module 07: Estimates and Intervals
- Module 08: Hypothesis Testing
- Module 09: Regression Analysis
- Module 10: Algorithms, Analytics and Predictions
- Module 11: Learning From Experience: The Bayesian Way
- Module 12: Doing Statistics: The Wrong Way
- Module 13: How We Can Do Statistics Better
⇒ Course 04: SQL NoSQL Big Data and Hadoop
- Module 01: Introduction
- Module 02: Relational Database Systems
- Module 03: Database Classification
- Module 04: Key-Value Store
- Module 05: Document-Oriented Databases
- Module 06: Search Engines
- Module 07: Wide Column Store
- Module 08: Time Series Databases
- Module 09: Graph Databases
- Module 10: Hadoop Platform
- Module 11: Big Data SQL Engines
- Module 12: Distributed Commit Log
- Module 13: Summary
⇒ Course 05: Complete Microsoft Power BI 2021
- Module 01: Introduction
- Module 02: Preparing our Project
- Module 03: Data Transformation - The Query Editor
- Module 04: Data Transformation - Advanced
- Module 05: Creating a Data Model
- Module 06: Data Visualization
- Module 07: Power BI & Python
- Module 08: Storytelling with Data
- Module 09: DAX - The Essentials
- Module 10: DAX - The CALCULATE function
- Module 11: Power BI Service - Power BI Cloud
- Module 12: Row-Level Security
- Module 13: More data sources
- Module 14: Next steps to improve & stay up to date
⇒ Course 06: Data Analysis in Excel Level 3 Course
- Modifying a Worksheet
- Working with Lists
- Analyzing Data
- Visualizing Data with Charts
- Using PivotTables and PivotCharts
- Working with Multiple Worksheets and Workbooks
- Using Lookup Functions and Formula Auditing
- Automating Workbook Functionality
- Creating Sparklines and Mapping Data
- Forecasting Data
⇒ Course 07: Data Analytics with Tableau
- Module 01: Introduction to the Course
- Module 02: Project 1: Discount Mart (Sales and Profit Analytics)
- Module 03: Project 2: Green Destinations (HR Analytics)
- Module 04: Project 3: Superstore (Sales Agent Tracker)
- Module 05: Northwind Trade (Shipping Analytics)
- Module 06: Project 5: Tesla (Stock Price Analytics)
- Module 07: Bonus: Introduction to Database Concepts
- Module 08: Tableau Stories
⇒ Course 08: Basic Google Data Studio
- Module 01: Introduction to GDS
- Module 02: Data Visualization
- Module 03: Geo-visualization
- Module 04: A Socio-Economic Case Study
⇒ Course 09: Business Analytics
- Module 01: What is business analysis?
- Module 02: Strategy analysis
- Module 03: Collaboration
- Module 04: Requirements analysis and Design definition
- Module 05: Requirements lifecycle management
- Module 06: Solution quality
- Module 07: Stakeholder management
- Module 08: BA Governance
- Module 09: Legal notes and Copyright information
⇒ Course 10: Complete Introduction to Business Data Analysis Level 3
- Module 1: Statistics Fundamentals
- Module 2: Data Analysis
- Module 3: Probability
- Module 4: Random Variables and Discrete Distributions
- Module 5: Continuous Distributions
- Module 6: Sampling Distributions
- Module 7: Confidence Interval
- Module 8: Hypothesis Testing with One Sample
- Module 9: Hypothesis Testing with Two Samples
- Module 10: The Chi-Square Distribution
- Module 11: F Distribution and One-Way ANOVA
- Module 12: Correlation analysis
- Module 13: Simple Linear Regression Analysis
⇒ Course 11: Business Intelligence and Data Mining Masterclass
- Module 01: What is Business Intelligence?
- Module 02: Starting Case in understanding BI needs in diff phase of business
- Module 03: Decision Making Process and Need of IT systems
- Module 04: Problem Structure and Decision Support System
- Module 05: Introduction to BI Applications
- Module 06: Dashboard presentation systems
- Module 07: Different Types of Charts used in 131 Dashboards
- Module 08: Good Dashboard and BSC
- Module 09: Examples of Bad Dashboards 1
- Module 10: Examples of Bad Dashboards 2
And much more...
⇒ Course 12: Research Methods in Business
- Section 01: Applied Project & Research Methods in Business
- Section 02: Writing a Purpose / Quantitative and Qualitative Research Approaches
- Section 03: Mixed Method Research Approaches, Ethical Considerations & Writing
- Effectively Written Methodology Part 3 !@@
- Section 04: Writing Data Collection Tools, Qualitative & Quantitative Data Analysis
- Section 05: Comparing Findings to Literature and Writing the Final Paper
⇒ Course 13: Computer Science: Graph Theory Algorithms
- Module 00: Promo
- Module 01: Introduction
- Module 02: Common Problem
- Module 03: Depth First Search
- Module 04: Breadth First Search
- Module 05: Breadth First Search Shortest Path on a Grid
And much more...
⇒ Course 14: Data Protection and Data Security Level 2
- GDPR Basics
- GDPR Explained
- Lawful Basis for Preparation
- Rights and Breaches
- Responsibilities and Obligations
Who is this course for?
Anyone from any background can enrol in this Data Analysis and Data Science bundle.
Requirements
Our Data Analysis and Data Science course is fully compatible with PCs, Macs, laptops, tablets and Smartphone devices.
Career path
Having this Data Analysis and Data Science expertise will increase the value of your CV and open you up to multiple job sectors.
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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.
