• Next cohort Starts22nd Apr, 2024
  • Learning FormatOnline Bootcamp
  • Course duration11 months
  • Next cohort Starts22nd Apr, 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 analytics 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 Liverpool 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, Liverpool. IBM beings technology and consulting services leadership, and it has received five Nobel Prizes, five U.S. National medals of Science, six Turing Awards, nine U.S. National Medals of Technology, 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 Liverpool. 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 Liverpool, you’ll be given a course completion certificate from IBM and Simplilearn. Simplilearn's Data Analyst certification in Liverpool certificate shows you completed your data analyst training and it will increase your skills and marketability. 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. Hypothesis testing, data blending, data extracts, forecasting, and descriptive and inferential statistics are covered thoroughly in this Data Analyst course in Liverpool.

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 Liverpool?

This Data Analyst course in Liverpool trains students on the implementation of algorithms and statistical inference design for large-scale data processing and advanced subjects 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 Liverpool?

This Data Analyst course in Liverpool 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- Through working on this project, you will be able to import data through Yahoo data reader for companies, including Amazon, Microsoft, Apple, Yahoo, and Google. 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. A marketing campaign was launched by the Portuguese bank to steer its potential customers into putting their money 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 market leaders such as Walmart, Target, and Amazon are using data analysis to chart the performance of inventory and product placement strategies.
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 Liverpool?

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

To be successful in the Data Analyst course in Liverpool and its certification training, students will need a solid understanding of basic mathematics.

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.

An IBM report forecasts that data and analytics jobs will rise to 15% to 2.72 million jobs by 2020. Information technology, insurance, and finance are the areas that will experience 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 Liverpool?

The Data Analyst course in Liverpool will give professionals all the tools needed to launch a successful, data analyst career. 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 analytics 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
    * Topics include Power BI Desktop layouts, BI reports, dashboards, DAX commands, and functions
    * Learn to experiment, refine, prepare, and present data with ease
    * Explore comprehensive Power BI training for hands-on applied learning
    * Learn through a practical approach to help you gain expertise

  • 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 & suggestions. Analysis-based reports & 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 & 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, Liverpool
     course learners from Ernst & Young, Liverpool
     course learners from Fidelity Investments, Liverpool
     course learners from Johnson and Johnson, Liverpool
     course learners from Vodafone, Liverpool
     course learners from Broadcom, Liverpool
     course learners from Accenture, Liverpool
     course learners from Nomura Holdings, Liverpool
     course learners from Ericsson, Liverpool
     course learners from Infosys, Liverpool
     course learners from Nvidia, Liverpool
     course learners from Tata Consultancy Services, Liverpool

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 master in Liverpool?

    The average salary of a Data Analyst in Liverpool is approximately €20k-48k per year. The salary offered can broadly vary based on your skills and expertise. You can pursue a Data Analyst Course in Liverpool to get a decent salary package.

  • What are the major companies hiring for Data analyst masters in Liverpool?

    Several companies in Liverpool are looking for skilled Data Analysts to join their teams. Some major companies currently hiring Data Analysts include Shortlist Recruitment Limited, Cast UK Limited, Agility Resourcing, Purchasing Professionals, CMA CGM (UK) Shipping Limited, and other reputed firms.

  • What are the major industries in Liverpool?

    Public Administration, Education, and Health are the major industries in Liverpool. Thousands of people in the capital city rely on these sectors for their livelihood. After completing your Data Analyst Course in Liverpool, several organizations in these sectors can provide high-paying career opportunities.

  • How to become a Data Analyst master in Liverpool?

    Math and statistics are used in data analysis. Professionals interested in learning how to become a Data Analyst must develop skills and knowledge in both of these areas. Successful Data Analysts combine their math and statistics skills with a strong business sense and understanding. The development of these fundamental competencies begins at the undergraduate level. Finally, enroll in a Data Analyst master course in Liverpool and become certified.

  • How to find a Data Analyst master course in Liverpool?

    You must start by looking for e-learning courses to find Data Analyst courses in Liverpool. The appropriate courses can be simply searched online. By comparing these online courses based on their training modules, continuing assistance, and practical experience, you can decide which course fulfills your requirements.

  • Can a fresh graduate seek employment after completing this Data Analyst course in Liverpool?

    Because the profession is vital to business development, most companies require a data analyst, and new graduates also have excellent job opportunities. If you aim to become more competitive, then it is worth earning the Data Analyst course in Liverpool. Explore your educational opportunities and start creating a solid basis for data analyst skills.

  • What are the eligibility criteria for the Data Analyst course in Liverpool?

    The Data Analyst course in Liverpool is best suited for aspiring professionals of any educational background with a framework, including:

    • IT experts
    • Professionals of banking and finance
    • Marketing managers
    • Sales representatives
    • Supply chain network managers
    • Freshers in the field of data analytics
    • Students in UG/PG courses

  • Why should I consider starting a career as a Data Analyst?

    If you have a computer science or related background and you are good at mathematics, statistics, and dealing with data, then chances are a Data Analyst role will be a great fit for you. With accelerating digital transformation across all industries, data analysts will be in high demand in the future. You can get started with this Data Analytics certification course to develop the necessary skills to be successful.

  • How does this course qualify me as a Data Analyst?

    This Data Analyst Course in Liverpool gives you a step-by-step guide to master all the topics that a Data Analyst should know. Apart from the theoretical knowledge, you’ll get to work on projects which will make you industry-ready. The Data Analytics certification course is specifically curated to impart those skills that employers actually consider under the Data Analyst qualification.

  • Who will teach this Data Analyst course?

     

    All of our highly qualified Data Analyst course trainers are business intelligence industry experts with years of relevant industry experience. Each of them has gone through a rigorous selection process that includes profile screening, technical evaluation, and a training demo before they are certified to train for us. We also ensure that only those trainers with a high alumni rating remain on our faculty.

  • What is Data Analytics?

    Data Analytics is a process of inspecting, cleaning, transforming and modeling data to discover useful information and support decision making to achieve business goals. There are various data analysis qualitative and quantitative methods and analytical or statistical tools used to extract the useful information and translate them into insights to make better business decisions, most of which are covered in the Data Analyst Courses.

  • How do I become a Data Analyst?

    This Data Analyst course developed in collaboration with IBM will give you sufficient insights into data analysis tools and methodologies to excel in your next role as a Data Analyst. You will earn an industry-recognized certificate from IBM and Simplilearn that will attest to your new skills and on-the-job expertise. The online Data Analyst certification course will train you on statistics essentials, SQL basics, data science, and data visualization using R and Python, Business Analytics with Excel, Power BI, and Data Visualization with Tableau Desktop 10.

  • How to learn Data Analysis?

    Data Analysis is one of the major areas to explore in this digitalized world. To learn data analysis, you need to have an in-depth understanding of SQL, Python or R programming, data visualization techniques, statistics, regression, and more. While you can get started on your own, it is recommended to enroll in a University partnered Data Analytics Program to learn data analytics from Purdue faculty. You’ll get up-to-date knowledge of the field and know about the strategies and best practices that are actually followed by companies.

  • What are the modules covered in this online Data Analyst course?

    This p\online Data Analyst certification course consists of the following modules:

    • Business Analytics with Excel
    • SQL
    • Programming Basics and Data Analytics with Python
    • R programming for Data Science
    • Data Analytics with R
    • Tableau Training
    • Data Analyst Masters Capstone
    • PowerBI
    • Industry Master Class- Data Analytics

  • Will this course help me to start my career as Data Analyst?

    Yes, anyone embarking on a career as Data Analyst can take these Data Analyst courses. Getting certified will demonstrate your seriousness towards the field and help you build a strong foundation in data analytics concepts.

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

    This Data Analyst certification course 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 online Data Analyst certification developed in collaboration with IBM?

    Upon completion of this Data Analyst training, 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

  • For which all courses will I get certificates from IBM?

    Following is the list of courses for which you will get IBM certificates:

    • R Programming for Data Science
    • Programming Basics and Data Analytics with Python

  • Is this Data Analyst certification course conducted online? Do I need to attend any physical classes?

    Yes, our Data Analyst course is completely online. You don’t need to attend classes at a physical location. You can access the course material anywhere using a system connected to the internet.

  • How do I earn the Master's certificate?

    Upon completion of 80% of LVC hours and 2 projects, you will be eligible to receive the certificate that will testify to your skills as an expert in Data Analyst.

    Please find the completion criteria for each course within the mandatory learning path as:

    Course Course completion certificate Criteria
    Business Analytics with Excel Required 85% of online self-paced completion or Attend 80% of 1 LVC batch and 1 project
    SQL Required 85% of online self-paced completion or Attend 80% of 1 LVC batch and 1 project
    Programming Basics and Data Analytics with Python Required 85% of online self-paced completion or Attend 80% of 1 LVC batch and 1 project
    R programming for Data Science Required As per criteria on IBM portal
    Data Analytics with R Required 85% of online self-paced completion or Attend 80% of 1 LVC batch and 1 project
    Tableau Training Required 85% of online self-paced completion or Attend 80% of 1 LVC batch and 1 project
    Data Analyst Masters Capstone Required Attendance of one Live Virtual Classroom AND successful evaluation in at least one project

  • Do I need to complete the Data Analyst course in a specific order?

    Simplilearn’s Data Analyst certification course has a rigorous curriculum designed by industry experts. It is recommended that you follow the lessons in the same order as detailed in the learning path for the best learning experience.

  • How do I enroll for the online Data Analyst certification course?

    You can enroll in this Data Analyst training on our website and make an online payment using any of the following options:

    • Visa Credit or Debit Card
    • MasterCard
    • American Express
    • Diner’s Club
    • PayPal

    Once payment is received you will automatically receive a payment receipt and access information via email.

  • If I need to cancel my enrollment from this data analyst course, can I get a refund?

    Yes, you can cancel your enrollment if necessary. We will refund the course price after deducting an administration fee. To learn more, please read our Refund Policy.

  • I am not able to access the Data Analyst course. Who can help me?

    Contact us using the form on the right of any page on the Simplilearn website, select the Live Chat link or Request a callback.

  • What is Global Teaching Assistance?

    Our teaching assistants are a dedicated team of subject matter experts here to help you get certified as Data Analyst in your first attempt. They engage students proactively to ensure the course path is being followed and help you enrich your learning experience, from class onboarding to project mentoring and job assistance. Teaching Assistance is available during business hours.

  • What is covered under the 24/7 Support promise?

    We offer 24/7 support through email, chat, and calls. We also have a dedicated team that provides on-demand assistance through our community forum. What’s more, you will have lifetime access to the community forum, even after completion of your Data Analyst course with us.

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

    Yes, Simplilearn provides a Post Graduate Program in Data Analytics in partnership with Purdue University. The Post Graduate Program in Data Analytics will give you broad exposure to key technologies and skills currently used in Data Analytics and Data Science.

  • What qualifications do I need to be a data analyst?

    You typically need a combination of education and experience in data analysis, statistics, and computer science. Here are some qualifications that can help you become a data analyst:

    • A degree in a related field, such as mathematics, statistics, computer science, economics, or engineering.
    • Strong analytical and problem-solving skills, as well as experience with statistical analysis, data visualization, and data mining tools.
    • Proficiency in programming languages such as Python, R, and SQL, as well as experience with data manipulation and analysis tools such as Excel, Tableau, and SAS.
    • Knowledge of machine learning and artificial intelligence is an advantage, as data analysts are increasingly expected to use these technologies to extract insights from data.
    • Strong communication and presentation skills, as data analysts often need to explain their findings to non-technical stakeholders.
    • Experience in a specific industry or domain is an advantage, as it can help data analysts understand the context and business value of their work.

  • Which course is best for data analyst?

    Try out the data analyst course. You will become a master of data analytics after taking this IBM-sponsored Data Analyst course. This course on data analytics covers the newest analytics tools and techniques, R and Python programming, SQL database administration, the art of data visualisation, and the use of statistics and predictive analytics in a business context.

  • Is data analyst a hard job?

    Being a data analyst can be challenging as it requires a combination of technical and analytical skills, but it also can be a rewarding job. The job of a data analyst involves analyzing and interpreting large amounts of data, and using that information to help organizations make better decisions.

    Data analysts need to have strong analytical and problem-solving skills, as well as experience with statistical analysis, data visualization, and data mining tools. They also need to be proficient in programming languages such as Python, R, and SQL, as well as experience with data manipulation and analysis tools such as Excel, Tableau, and SAS.

    The job can be challenging because data analysts need to be able to work with large and complex data sets, and must be able to extract insights and make sense of the data. They also need to be able to communicate their findings to non-technical stakeholders and make recommendations based on the data.

  • Is Simplilearn certificate valuable?

    Simplilearn is a well-known provider of online education and training programs in a wide range of subjects, including data analysis, machine learning, and artificial intelligence. Whether a Simplilearn certificate is valuable depends on a variety of factors such as the quality of the course, the level of the certification, and the employer's perspective on the certification.

    Simplilearn provides a wide range of courses and certifications, and they have a good reputation in the online education space. They partner with industry experts and have a good curriculum, which can be valuable for professionals looking to gain new skills or advance their careers.

  • What's unique about the Data analyst course?

    You will obtain IBM credentials for the IBM courses and Simplilearn certifications for every course in the learning path after completing Simplilearn's online data analyst courses. These credentials, will attest to your abilities and demonstrate your knowledge of data analytics. The following advantages are also available to you as part of this Data Analyst certification program:

    • Expert-led master courses from IBM
    • Exclusive Hackathons run by IBM Industry-recognized Data Analyst Master's credential from Simplilearn Ask Me Anything sessions with IBM leadership

  • 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 Analyst course?

    • 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 projects would a learner be working on?

    A data analyst learner may work on various projects, depending on the course or program they are enrolled in. Some common types of projects that data analyst students may work on include:

    • Data cleaning and preprocessing: This project may involve working with raw data to prepare it for analysis by cleaning, transforming, and formatting it.
    • Exploratory data analysis: This project may involve using visualization and statistical techniques to understand the main characteristics of a dataset and identify patterns or trends.
    • Predictive modeling: This project may involve using machine learning algorithms to build models that can predict outcomes based on historical data.
    • Business case studies: This project may involve applying data analytics techniques to solve real-world business problems, such as identifying key drivers of customer churn or optimizing marketing campaigns.
    • Big Data projects: This project may involve working with large datasets, distributed computing, and data processing tools like Hadoop, Spark, Hive, and Pig.
    • Dashboarding and Reporting: This project may involve creating interactive dashboards and reports to communicate insights and findings to stakeholders.

    It's important to check the course details and syllabus before enrolling to get more information about the projects that will be covered.

  • Are Data Analyst Course recordings provided after course completion?

    Yes, you get the recordings of all the classes so that you can revise and watch the content whenever you want! So, don't worry as you all will have lifetime access to the data analyst course.

  • What technical skills are needed for this data analyst course?

    Since these languages are frequently used for data modification and analysis, knowledge of programming languages like Python or R is frequently necessary for data analytics. For retrieving and altering data contained in databases, an understanding of SQL is essential. For the purpose of developing interactive visuals that can assist in explaining results to stakeholders, knowledge of data visualization tools like Tableau, Power BI, or ggplot is crucial. Understanding and interpreting data requires a working knowledge of statistical methods including regression analysis, correlation analysis, and hypothesis testing. Even if you are unfamiliar with any of them, you should still enroll in the course since it will help you develop these skills so that you may succeed in the data analyst course.

  • Is the data analyst career a promising one?

    Data analysis is a promising career field. With the increasing amount of data being generated by businesses, governments, and individuals, there is a growing demand for professionals who can collect, process, and analyze that data to extract valuable insights. According to the Bureau of Labor Statistics (BLS), employment of data analysts and data scientists is projected to grow 11% from 2019 to 2029, much faster than the average for all occupations.

  • Are Excel skills important to become a Data Analyst?

    Yes, Excel skills are essential for becoming a data analyst. Proper Excel training equips you with the necessary knowledge and techniques to effectively analyze and manipulate data. Here's why Excel skills gained through training are important for aspiring data analysts:

    1. Data Manipulation: Excel training teaches you how to efficiently clean, transform, and organize data using features like sorting, filtering, and data validation. These skills are crucial for preparing data for analysis.

    2. Formulas and Functions: Excel training covers a wide range of formulas and functions, enabling you to perform calculations, statistical analyses, and data modeling. Understanding and utilizing these capabilities enhance your ability to derive insights from data.

    3. Data Visualization: Excel training teaches you how to create visually appealing charts, graphs, and dashboards to present data in a meaningful way. Effective data visualization is essential for conveying findings and making data-driven recommendations.

    4. Data Analysis Tools: Excel offers numerous built-in tools such as pivot tables, conditional formatting, and data analysis add-ins. Through training, you learn how to leverage these tools to gain deeper insights and perform complex analyses.

    5. Efficiency and Productivity: Excel training equips you with time-saving techniques, shortcuts, and best practices. These skills improve your efficiency in handling large datasets and performing repetitive tasks, ultimately increasing your productivity as a data analyst.

    6. Collaboration and Compatibility: Excel is widely used in organizations, making it important for data analysts to have the skills to collaborate and share data effectively. Excel training helps you understand file compatibility, data sharing options, and collaboration features within Excel.

    By gaining Excel skills through training, you enhance your ability to manipulate, analyze, and visualize data efficiently, enabling you to excel in the role of a data analyst and contribute effectively to data-driven decision-making processes.

Data Analyst Course in Liverpool

Liverpool is a city and metropolitan borough in the English county of Merseyside. With a population of 498,042 in 2019, it is the tenth most populous English district, and its metropolitan area is the fifth most populous in the United Kingdom, with a population of 2.24 million. Liverpool, located on the eastern bank of the Mersey Estuary, was historically part of the ancient hundred of West Derby in the county of Lancashire. Liverpool's economy is one of the largest in the United Kingdom, and it is located at the heart of one of the two core economies in the North West of England.

Liverpool is United Kingdom's sixth most visited city. It is noted for its culture, architecture, and transportation links. The Beatles, largely recognised as the most influential band of all time, is closely associated with the city, and their fame has led to the city's appeal as a tourist attraction. Some of Liverpool's most noteworthy landmarks are as follows:

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Post Graduate Program in Data Science
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