
Data Science: Basics, Data Mining, Excel, Python, SQL, Machine Learning & Tableau
Imperial Academy
Premium Career Guided Program | 10-in-1 QLS Endorsed Bundle | Certificates Included | Expert Support
Summary
- Hard Copy QLS Certificate - Free
- PDF Certificate - Free
- Multiple Choice Questions (MCQ)/Assignment (included in price)
- Tutor is available to students
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Overview
Achievement
Certificates
Hard Copy QLS Certificate
Hard copy certificate - Included
International students must pay a £10 shipping cost
PDF Certificate
Digital certificate - Included
Assessment details
Multiple Choice Questions (MCQ)/Assignment
Included in course price
CPD
Course media
Description
Be a data scientist with our extensive Data Science: Basics, Data Mining, Excel, Python, SQL, Machine Learning & Tableau bundle course. This carefully curated collection of courses covers all the essential topics to excel in data science, from foundational concepts to advanced tools and techniques.
Whether you are a beginner looking to start your journey or a seasoned professional aiming to expand your talents, this bundle has something for everyone.
Course Details:
- Advanced Diploma in Microsoft Excel Complete Course 2019: Get used to the power of Microsoft Excel with this advanced diploma course. Learn to handle and analyse data efficiently using Excel's powerful features, formulas, and functions. Gain the talent to manipulate data, create insightful visualisations, and make data-driven decisions.
- Advanced Diploma in Python Programming: Beginner To Expert: Master one of the most popular programming languages for data science. This comprehensive diploma course will take you from a beginner to an expert in Python programming. Acquire knowledge in data manipulation, analysis, and building data-driven applications.
- Advanced Diploma in Statistics & Probability for Data Science & Machine Learning: Build a strong foundation in statistics and probability to better understand data patterns and make accurate predictions. This advanced diploma course covers various statistical concepts and their application in data science and machine learning.
- Diploma in Data Analysis Fundamentals: Learn the fundamentals of data analysis, including data cleaning, exploration, and visualisation. This diploma course will equip you with essential understanding to extract valuable insights from raw data and present them effectively.
- Advanced Diploma in Data Analytics with Tableau: Discover the power of Tableau for data visualisation and analytics. This advanced diploma course will teach you how to create interactive dashboards and reports to communicate data-driven findings with clarity and impact.
- Diploma in Business Intelligence and Data Mining: Understand the principles of business intelligence and data mining. This diploma course covers various data mining techniques and their application in extracting valuable patterns and trends from large datasets to support business decision-making.
- Certificate in Google Data Studio: Learn how to create dynamic and visually appealing reports and dashboards using Google Data Studio. This certificate course will enable you to transform raw data into compelling data visualisations that facilitate data-driven insights.
- Advanced Diploma in SQL NoSQL Big Data and Hadoop: Get experience with SQL and NoSQL databases, Big Data, and Hadoop. This advanced diploma course will equip you with the wisdom to manage and process large-scale datasets efficiently.
- Certificate in Machine Learning with Python: Explore the world of machine learning and its practical implementation using Python. This certificate course covers machine learning algorithms and techniques to help you build predictive models and make data-driven decisions.
- Diploma in Azure Machine Learning: Use Azure Machine Learning, a powerful cloud-based platform for building and deploying machine learning models. This diploma course will guide you through creating, training and evaluating machine learning models in Azure.
Please Note: Imperial Academy is an approved reselling partner for Quality Licence Scheme courses under One Education.
Who is this course for?
This Data Science course is ideal for those looking to start a career in the field or interested in further enrollment :
- Big data
- Data Analysis
- Data Protection
- Microsoft Azure Data Fundamentals
Requirements
This course requires no prerequisites and does not offer formal qualifications. To become qualified, Enrol in specific programs:
- Certified Data Analysis Professional
- Certified Data Visualization Professional
- MCSE Data Management & Analytics
- NCFE Level 2 Certificate in Understanding Data Protection and Data Security
- BCS Foundation Award - Big data
Career path
- Data Analyst: £25,000 to £45,000 per year
- Data Scientist: £35,000 to £60,000 per year
- Business Intelligence Analyst: £30,000 to £50,000 per year
- Machine Learning Engineer: £40,000 to £70,000 per year
- Business Analyst: £30,000 to £55,000 per year
- Data Visualisation Specialist: £30,000 to £50,000 per year
- Database Administrator: £35,000 to £60,000 per year
Questions and answers
How long does the course remain valid?
Answer:Hello Katherine, Thank you for your interest. You'll have lifetime access to all ten courses.
This was helpful.How is the Data Science: Basics, Data Mining, Excel, Python, SQL, Machine Learning & Tableau is taught? Are there tutorials, videos and webinars?
Answer:Hello Raizy, Thanks for your query. This is a video course prepared by experts.
This was helpful.
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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.