• Next cohort Starts23rd Jul, 2024
  • Learning FormatOnline Bootcamp
  • Course duration11 Months
  • Next cohort Starts23rd Jul, 2024
  • Learning FormatOnline Bootcamp

Why Join this Program

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    IBM Advantage

    Access hackathons, masterclasses, and AMA sessions. Earn IBM certificates for IBM courses.

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    Applied Learning

    Capstone and 20+ industry-relevant data analytics projects to ensure comprehensive learning

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    Data-Driven Decision Making

    Learn tools like Tableau, Excel, SQL, Python, R, PowerBI and more

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    Top-notch Data Analyst course

    Comprehensive data analytics curriculum with live online classes by industry experts

World’s #1 Online Bootcamp

Begin your journey to success

Get lifetime access to self-paced e-learning content

Corporate Training

Enterprise training for teams

Data Analyst Program Overview

This data analyst course, in collaboration with IBM, will transform you into a data analytics expert. In this course, you will learn the latest analytics tools and techniques, how to work with SQL, the languages of R and Python, the art of creating data visualizations, and how to apply statistics and predictive analytics in a business environment.

Key Features

  • Industry-recognized Data Analyst Master’s certificate from Simplilearn
  • Dedicated live sessions by faculty of industry experts
  • Masterclasses from IBM experts
  • Industry-recognized IBM certifications for IBM courses
  • Ask-Me-Anything (AMA) sessions with IBM leadership
  • Capstone from 3 domains and 20+ projects
  • Exclusive hackathons conducted by IBM
  • Lifetime access to self-paced learning content
  • Program crafted to initiate your journey as a Data Analyst

Data Analyst Program Advantage

Get certified in data analysis with this IBM program. Access masterclasses by experts, and AMAs with leadership. Earn Data Analyst and IBM certificates plus complete capstone projects. Advance your career now!

  • Master's Certificate

    Earn your Data Analyst Certificate

    • Industry-recognized certificate by Simplilearn
    • Dedicated live sessions by faculty of industry experts
    • Lifetime access to self-paced learning content
  • IBM Certificate

    Get ahead with IBM Advantage

    • Content and certificate by IBM
    • Masterclasses by IBM experts
    • Hackathons and AMA Sessions

About the Program

About the Data Analyst Master's program developed in collaboration with IBM

As per the Forrester wave report, in September 2018, IBM is the second-largest Machine Learning and Predictive Analytics solutions provider globally. This Data Analyst course in Edinburgh is designed to equip students with their skills to become successful analysts and problem solvers.

IBM is one of the world's leading cloud platform companies, which has its headquarters in Armonk, Edinburgh. IBM is a pioneer in technology and a leader in offering consulting services; plus, is the recipient of five Nobel Prizes, six Turing Awards, nine U.S. National Medals of Technology, five U.S. National medals of Science, and has 10 inductions into the U.S. Inventors Hall of Fame.

What to expect from this data analyst course developed in collaboration with IBM?

Certificates from IBM and Simplilearn will be awarded to students after completing this Data Analyst course in Edinburgh. The certificates will give evidence of your skills as a master of data analysis. Other things that you will get includes:

  • 24/7 accessibility to IBM cloud platforms that features IBM Watson and other software
  • Simplilearn's Data Analysis Master’s certificate with industry recognition

What can I expect from this Simplilearn's Data Analyst program developed in collaboration with IBM?

Once you complete your Data Analyst course in Edinburgh, you’ll be given a course completion certificate from IBM and Simplilearn. Your certificate shows you finished your data analyst training through Simplilearn's Data Analyst certification in Edinburgh, and it will put you on the fast track to success. You will also have these things with you if you complete the course –

  1. Access to IBM cloud platforms that feature IBM Watson and other software.
  2. Industry recognized Data Analyst Master’s certificate from Simplilearn.
  3. USD 1200 worth of IBM cloud credits that you can use for hands-on exposure.

What are the learning objectives?

This data analyst course in collaboration with IBM will assist you in developing your learning and skills in the analytics field. Data extracts, regression analysis, data blending, descriptive and inferential statistics, hypothesis testing, and forecasting are all included in this Data Analyst course in Edinburgh.

If you have a basic understanding of mathematical concepts, you can easily become an expert in Data analytics with the help of this course.

What skills will you learn in this data analyst course in Edinburgh?

Simplilearn's Data Analyst course in Edinburgh includes the implementation of algorithms and statistical inference design for large-scale data processing and areas such as machine learning and natural language processing. You will also:

  • Have a strong command over SQL concepts such as universal query tools.
  • Have an understanding of essential statistical concepts such as dispersion, regression, correlation, and measures of central tendency.
  • Learn to read and write files, save data, load files, etc., in Python.
  • Learn about statistical inference and modeling with R.
  • Have in-depth knowledge of several data visualization libraries in Python, including Folium, Seaborn, and Matplotlib.
  • Gain an understanding of DBSCAN, K-means, and hierarchical clustering.
  • Learn business analytics via Excel.
  • Become an expert in Tableau statistics.
  • Master visualization techniques, namely market basket analysis, treemap, waterfall, heat map, and Gantt chart.

What projects are included in this data analyst course in Edinburgh?

This Data Analyst course in Edinburgh will use current real-life, industry-based events, projects, and case studies. Projects are:

Inspect how big companies like Flipkart and Amazon make use of business intelligence tools to perform category analysis.
Title- category performance analysis
Description- In this performance evaluation program, best-performing subcategories are awarded to those that yielded a consistent profit for the last four years.
 
Have an understanding of how NSE, BSE, and NASDAQ leverage data analysis and analytics to arrive at consumable data from complex data sets.
Title- stock market
Description- This project will teach students how to import data via Yahoo data reader for companies, including Microsoft, Apple, Amazon, Google and Yahoo. You will also learn to perform daily return analysis, using a plot to show the correlation between stocks and plotting stock trade by volume. 
 
Learn about the usage of data analysis by banks, namely Citigroup, Bank of America, HDFC, and ICICI.
Domain- Banking
Description- In this project, you will learn about analyzing the data collected from the marketing campaign run by a Portuguese banking institution. The Portuguese bank performed marketing outreach to convince potential customers into putting funds into the bank term deposit. You need to analyse the entire campaign and the data collected from it.
 
See how healthcare industry leaders use data analysis to leverage their business.
Domain- Healthcare
Description- In this project, you will learn predictive analytics and judge the efficiency of forecasting a trend. Historical and real-time data can be compared to judge the efficiency and value of the data. The predictor and the intervention are integrated back into the same system. 
 
Find out how leading retailers such as Amazon, Target, and Walmart are using data analysis to evaluate product placement and inventory decisions.
Domain- Retail
Description- In this project, you will learn about product and inventory optimization from the shelves to the warehouse. Participants will tend to learn the daily cycle of product optimisation from the shells to the warehouses. This will help in giving them regular insights into the occurrences that occur in the real estate sector.
 
Using data analysis, learning how Berkshire Hathaway, AIG, and AXA (insurance leaders) work on real-life insurance-based projects.
Domain- Insurance
Description- Predictive analytics has helped to increase the insurance businesses. It has helped to increase the efficiency of the businesses. According to the 2013 Insurance Predictive Modeling Survey, there has been an increase in predictive modelling throughout the industry, all people from companies that write over $1 billion in personal insurance employ predictive modelling if compared to 69% of companies with less than that amount of premium.

Who should take this Data Analyst course Edinburgh?

Aspiring professionals of any educational background with an analytical frame of mind are best suited to pursue the Data Analyst course Edinburgh, including:

  • IT professionals
  • Banking and finance professionals
  • Marketing managers
  • Sales professionals
  • Supply chain network managers
  • Beginners in the data analytics domain
  • Students in UG/ PG programs

What are the prerequisites for this Data Analyst course in Edinburgh?

To succeed in the Data Analyst course in Edinburgh and its certification training, learners should have good basic math skills.

Why become a Data Analyst?

Becoming a data analyst has many benefits. The World Economic Forum has also predicted that data analysts will be one of the leading jobs by 2022. It is commonly accepted today that data is abundant, and every bit of it can improve a business or a nation. 2.5 quintillion bytes of data are created every single day. All these facts altogether provide evidence of ever-increasing job and career advancement opportunities in the analytical field.

Data and analytics jobs will increase by 15% to 2.72 million jobs by 2020, according to a recent IBM report. Finance, insurance, and information technology are the fields that will have the most significant demand for data analysts. Glassdoor sales that a data analyst bagged an average pay of $67377 in 2019.

What are the job opportunities upon completing this Data Analyst course in Edinburgh?

Upon finishing the Data Analyst course in Edinburgh, professionals will have the knowledge and talent to obtain a lucrative job as a data analyst. Various job titles are:

  • Analytics Manager or lead
  • Data Analyst
  • Business Intelligence Analyst
  • Business Intelligence Engineer 
  • Business Analyst/Senior Business Analyst
  • Various managerial roles

Data Analyst Certification Learning Path

Accelerate your career trajectory with our extensive data analyst course curriculum. Delve into foundational statistics, master data analysis with Python and R, navigate databases using SQL, and harness the power of visualization with Tableau and Power BI.

Learning Path

Electives:
    • Aligned with PL-300: Microsoft Power BI Data Analyst certification
    • Learn Power BI Desktop layouts, BI reports, dashboards, and more
    • Learn to experiment, refine, prepare, and present data with ease
    • Get access to practice tests to ace the PL-300 exam
    • Learn through projects and labs to gain expertise in visualization

  • Attend this interactive, online industry master class to gain insights about cutting edge Data Analytics advancements and techniques.

8+ Skills Covered

  • Data Analytics
  • Statistical Analysis using Excel
  • Data Analysis using Python and R
  • Data Visualization Tableau and Power BI
  • Linear and logistic regression modules
  • Clustering using KMeans
  • Supervised Learning
  • Unsupervised Learning

9+ Tools Covered

Microsoft ExcelNumPypandasSciPypower bipythonRtableauMySQLFSD

Industry Projects

  • Project 1

    APP RATING RECOMMENDATIONS

    The Google Play Store team launches visibility booster for promising apps - displayed higher in recommendations. Build model to predict app ratings with provided app data.

  • Project 2

    COMCAST TELECOM CUSTOMER COMPLAINTS

    Comcast promises better customer service but continues falling short, despite repeated vows to improve. Leverage database of customer complaints to finally boost satisfaction.

  • Project 3

    ECOMMERCE SALES DASHBOARD

    E-commerce company seeks sales dashboard to analyze product categories, ease selection, and boost purchases. Help users review info on products they're considering.

  • Project 4

    COMPARATIVE STUDY OF COUNTRIES

    Create a dashboard to compare different countries on various parameters using the sample insurance data set and world development indicators data set.

  • Project 5

    SALES PERFORMANCE ANALYSIS

    Build dashboard showing monthly sales by segment and category, flagging those meeting/exceeding/missing targets - enabling clients to easily identify areas needing attention.

  • Project 6

    ANALYSIS OF SALES REPORT OF A CLOTHES MANUFACTURING OUTLET

    Fashion retailer seeks to expand product line. Aims to grasp market trends, automate product attributes, predict sales, understand sales drivers, and standardize ratings with data.

  • Project 7

    COLLEGE ADMISSION

    Each year, US colleges receive thousands of applications from international students. To streamline the process, the education department must analyze factors affecting admission.

  • Project 8

    IDENTIFYING AND RECOMMENDING THE BEST RESTAURANTS

    Upgrading B2C portal with smart automation. Forming matrices for top-notch eateries and suggestions. Analysis-based reports and visual dashboards for sharing insights.

  • Project 9

    PREDICTING LOAN DEFAULTERS

    High vehicle loan defaults cause losses, leading to stricter underwriting. Need a better risk model. Study to identify default factors and predict defaults.

  • Project 10

    EXAMINING FACTORS RESPONSIBLE FOR HEART ATTACKS

    Global heart disease deaths are high. We need a system to predict heart attacks. Study data on cardiovascular health, identify key factors and create a predictive model.

Disclaimer - The projects have been built leveraging real publicly available data-sets of the mentioned organizations.

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Join the Data Analytics industry

Data Science and Analytics jobs are projected to see growth by 31% in the upcoming decade. The data analytics market is estimated to reach $24.63 Bn in 2021 and is projected to grow at a compound annual growth rate of 25 per cent from 2021 to 2030.

Job Icon11.5 M

Expected New Jobs for Data Science and Analytics

Source: Analytics Insight
Job Icon31%

Annual Job Growth by 2030

Source: 365 Data Science
Job Icon$ 62K-121K

Average Annual Salary

Source: Glassdoor

Batch Profile

This program caters to working professionals from a variety of industries and backgrounds; the diversity of our students adds richness to class discussions and interactions.

  • The class consists of learners from excellent organizations and diverse industries
    Industry
    Information Technology - 32%BFSI - 19%Software product - 13%Pharma & Healthcare - 11%Retail - 10%Others - 15%
    Companies
     course learners from Amazon, Edinburgh
     course learners from Ernst & Young, Edinburgh
     course learners from Fidelity Investments, Edinburgh
     course learners from Johnson and Johnson, Edinburgh
     course learners from Vodafone, Edinburgh
     course learners from Broadcom, Edinburgh
     course learners from Accenture, Edinburgh
     course learners from Nomura Holdings, Edinburgh
     course learners from Ericsson, Edinburgh
     course learners from Infosys, Edinburgh
     course learners from Nvidia, Edinburgh
     course learners from Tata Consultancy Services, Edinburgh

Learner Reviews

Financing

The admission fee for this program is £ 1,299

Pay in Installments

You can pay monthly installments for Programs using Splitit payment option with 0% interest and no hidden fee.

Splitit

Financing Options

We provide the following options for one-time payment

  • Credit Card
  • Paypal

£ 1,299

Data Analyst Training FAQs

  • What is the salary of a Data Analyst in Edinburgh?

    The average base pay of a Data Analyst in Edinburgh is around £32,319 per annum. While the salary figure will differ from company to company, aspirants can make the most of the growing demand for this job role and command higher pay packages and perks. A Data Analyst Course in Edinburgh can open doors to lucrative opportunities in this field.

  • What are the major companies hiring Data Analysts in Edinburgh?

    Some of the top companies hiring data analysts in the city include Natwest Group, Lloyds Banking Group, HSBC Holdings, ClearWater Analytics, and Wood Mackenzie, among others. With a Data Analyst course in Edinburgh, you can gain the skills these companies are looking for.

  • What are the major industries in Edinburgh?

    As the capital of Scotland, Edinburgh sits at the heart of the nation’s illustrious financial services industry. It ranks 2nd only to London as the UK’s largest financial hub. Other major industries include construction, education, and tourism, while it’s also home to a thriving tech sector. With a growing demand for data skills in nearly every industry, data Analysts in Edinburgh can find jobs in any of these sectors.

  • How to Become a Data Analyst in Edinburgh?

    You need to have the required data skills and expertise to become a Data Analyst. Data Analyst Certification in Edinburgh can help you gain the knowledge and expertise in data analysis basics, tools, methodologies, and statistics essential to excel in a Data Analyst career.

  • How to find a Data Analyst masters course in Edinburgh?

    Many universities in the UK offer courses in Data Science. You can enroll with them as an on-campus or online student. If you’re not looking for a full-time course, registering with recognized elearning platforms like Simplilearn can give you access to high-quality education that you can acquire at your own pace.

  • What are the top skills required for Data Analysts?

    Many analyst roles are pretty nuanced, and therefore, it is hard to determine which skills are needed significantly. Data Analyst course is an increasingly worthwhile investment and helps you secure the right skills with better pay. Some of the top skills required for data analysts are:

    • Structured Query Language (SQL)
    • MATLAB
    • R or Python-Statistical Programming
    • Microsoft Excel
    • Data Visualization
    • Data Cleaning
    • Presentation Skills
    • Critical Thinking
    • Machine Learning
    • Linear Algebra and Calculus

  • What are the modules covered in this Data Analytics course?

    This Data Analytics certification course consists of the following modules:

    • Introduction to Data Analytics
    • Business Analytics with Excel
    • Programming Basics and Data Analytics with Python
    • Tableau
    • Power BI
    • Data Analytics with Python
    • Data Science with R Programming
    • Data Analyst Capstone

  • What programming knowledge is necessary for this Data Analyst training in Edinburgh?

    This Data Analytics certification Course in Edinburgh is suitable for professionals with programming experience as well as non-programming backgrounds. However, it is recommended to have a basic understanding of programming languages like SQL, Java, Python, or R.

  • What can I expect from this Simplilearn Data Analytics certification developed in collaboration with IBM?

    Upon completion of this Data Analyst training in Edinburgh, you will receive the certificates from IBM and Simplilearn for courses in the learning path. These certificates will testify to your skills as an expert in Data Analytics. You will also receive the following:

    • Lifetime access to e-learning content for all of the courses included in the learning path (*only for Simplilearn courses)
    • Industry-recognized certificates from IBM (for IBM – Data Analytics courses) and Simplilearn upon successful completion of the program
    • Access to IBM cloud platforms featuring IBM Watson and other software for 24/7 practice

  • Do you offer any university partnered program in Data Analytics?

    Yes, Simplilearn provides a Professional Certificate Program in the Data Analytics in partnership with Purdue University. The Professional Certificate Program in the Data Analytics will give you broad exposure to key technologies and skills currently used in Data Analytics and Data Science, including Statistics, Python, R, Tableau, SQL, and Power BI.

  • What is the average salary a learner can expect after the Data Analysis course completion?

    The salary for a data analyst can vary depending on factors such as location, industry, and level of experience. On average, data analysts in the United States can earn a median salary of around $68,000 per year, with top earners making over $120,000 per year. It's important to note that these are approximate numbers and the actual salary can vary greatly.

  • What is the learning format for the Data Analytics courses?

    • Simplilearn typically offer a combination of live online classes, self-paced online learning, and hands-on projects or assignments.
    • Live online classes are led by an instructor and are held at a scheduled time. These classes may be interactive and allow for real-time questions and discussions.
    • Self-paced online learning allows students to complete the course material at their own pace, within a certain timeframe. This may include pre-recorded video lectures, quizzes, and other interactive elements.
    • Hands-on projects or assignments may include real-world case studies, data analysis exercises, and other activities that allow students to apply what they have learned.
    • It's important to check the data analytics course details and syllabus before enrolling to get more information about the learning format.

  • What is the job market for data analysts?

    Data analysis is a rapidly growing field, and the demand for data analysts is increasing in many industries. Here are a few placement trends for data analysts:

    • Increasing demand: The amount of data being generated is increasing at a rapid rate, and organizations are looking for ways to extract insights from that data. As a result, the demand for data analysts is increasing in finance, healthcare, retail, and manufacturing industries, to name a few.
    • The growing use of data analytics in different sectors: Data analysis is becoming increasingly important in various sectors, such as healthcare, finance, manufacturing, retail, and technology. The increasing use of data analytics in various sectors is creating new opportunities for data analysts.
    • Remote work: With the COVID-19 pandemic, remote work has become more prevalent and many companies are now looking for data analysts who can work remotely.
    • Use of machine learning and artificial intelligence: Data analysts are increasingly expected to use machine learning and AI to extract insights from data. This is creating new opportunities for data analysts with experience in these technologies.
    • Interdisciplinary skills: Data analysts are increasingly expected to have interdisciplinary skills, such as data visualization and business acumen.

Data Analyst Course in Edinburgh

Edinburgh is well-known as the strongest economy in the UK after London, and per the latest reports is the top employer in the region with more people working in highly skilled jobs than any other city in the UK, including London.

Being squeezed between the hills and the sea, the city enjoys some unique geographical advantages such as a pleasant climate year-round, minimal weather extremities. July and August are the hottest months, while it’s the coldest in January and February.

The Scottish capital enjoys the reputation of being the most visited tourist destination with more overseas visitors than other UK cities. As such, there’s a ton to do in Edinburgh. Some of the most popular local attractions that you shouldn’t miss include the imposing Edinburgh Castle, National Galleries of Scotland, National Museum of Scotland and East Lothian where you can spend time amidst the sandy beaches, lovely coastlines, and the beautiful countryside.

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