• Next cohort Starts16th Apr, 2024
  • Learning FormatOnline Bootcamp
  • Course duration11 months
  • Next cohort Starts16th 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

IBM is a leading cloud platform and cognitive solutions company. Since 1911, they are known as the largest technology and consulting employer globally, with more than 350,000 employees who work with clients in 170 countries. Simplilearn and IBM’s collaboration delivers a once-in-a-lifetime experience, helping them excel in Artificial Intelligence, Data Science, and other cutting-edge technologies. This Data Analyst course in Manila will turn out to be quite fruitful for the students who wish to build their careers in Data Science. 

IBM, along with Watson, is working on an AI platform for business, powered by data and trying to build industry-based solutions for real-world problems. It's been seven decades since IBM has (and still continues to) defined the future of Information Technology with more than 3000 researchers in 12 labs located across six continents. 

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

Once you complete your Data Analyst course in Manila, you’ll be given a course completion certificate from IBM and Simplilearn. This certificate verifies that you have concluded your data analyst training in this Data Analyst course in Manila, and will help you boost your career. 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 Scientist 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 Manila by Simplilearn in collaboration with IBM will give you expertise in this booming data analytics stream. The Data Analyst training in Manila helps you become a pro in descriptive and inferential statistics, regression analysis, hypothesis testing, data blending, data extracts, and forecasting. You will also have insights on data visualization techniques by using Tableaus and Power BI and learning ways to organize data and design dashboards.

On the other hand, the program also focuses on non tech workforce to give them an idea about the technicalities. In this Data Analyst training in Manila, you will understand basic concepts of Mathematics and how to apply them.

This learning method provides you with a thorough understanding of Data Analytics with demos and projects via CloudLab, and when you finish this Data Analyst training in Manila, you will be able to call yourself a certified Data Analyst.

What skills will you learn in this Data Analyst course in Manila?

This Data Analyst course in Manila has been designed to help you fulfill the company's expectations and prove yourself to be a good data analyst. As you complete this Data Analyst training in Manila you will be able to:

  1. Learn all the concepts like measures of central tendency, dispersion, correlation, and regression.
  2. Excel in SQL concepts like Universal Query Tool and SQL command.
  3. Code in Python by using variables, strings, functions, loops, and conditions.
  4. Understand the details of Python's lists, sets, dictionaries, conditions and branching, objects, and classes.
  5. Work on data consisting of Python, which includes reading and writing files, loading, working, and saving data with Pandas.
  6. Convert data in Python by using multi-dimensional arrays in NumPy, manipulate DataFrames in Pandas, use SciPy library of Mathematical routines, and implement learning by using Scikit-Learn.
  7. Work as data analytics by using Python libraries.
  8. Know several data visualization libraries in Python, which also has Matplotlib, Seaborn, and Folium.
  9. Know the basics of R in-depth, and then write your R scripts.
  10. Excel in R programming and know about the ways of implementing statements in R.
  11. Know, understand, and use linear and non-linear regression models and different classification methodologies for data analysis.
  12. Understand and then implement the clustering methods, which include K-means, DBSCAN, and hierarchical clustering.
  13. Know about the foundations of business analytics using Excel.
  14. Know the latest Microsoft analytics and visualization tools(Power BI).
  15. Excel in the concepts of Tableaus Desktop 10, become familiar with Tableau statistics, and make engaging desktops.
  16. Excel in visualization techniques like a heat map, treemap, waterfall, Pareto, Gantt chart, and market basket analysis.
     

What projects are included in this Data Analyst course in Manila?

This Data Analyst course in Manila comes with 15+ real world industry projects so that you can excel in business analytics and intelligence. This Data Analyst training in Manila consists of projects like:

Project 1: Analyse how big MNCs like Amazon and Flipkart implement business intelligence tools to use category analysis.
Project Title - Category of Performance Analysis
Description - As per the Performance Evaluation Program, the subcategories that give a continuous profit for the last four years are announced as the Best Performing Subcategories. Assist the manager in recognizing the major subcategories by looking at the profits and using dashboard features that give an entire picture for subcategory sales. 

Project 2: Know and understand how stock markets such as NASDAQ, NSE, and BSE leverage data science and analytics to become data that can be used from complex datasets.
Domain - Stock Market
Description - In this project, you will give Yahoo a data reader for companies like Yahoo, Apple, Amazon, Microsoft, and Google. You will be able to do fundamental analytics, which consists of plotting closing price, plotting stock trade by volume, doing everyday return analysis, and using pair plots to correlate all stocks.

Project 3: Check how banks like Citigroup, Bank of America, ICICI, and HDFC use data science to thrive in the market.
Domain - Banking
Description - A Portuguese banking institute gave a marketing campaign to make the potential customers invest in a bank term deposit. They did their campaigns through phone calls, and there were also times when the same customer was connected twice. Your job will be to analyze the data that has been collected from the marketing campaign.

Project 4: Know and understand how top healthcare industry leaders use data science to increase their business.
Domain - Healthcare
Description - Predictive analytics are used in the healthcare industry for hospital readmissions. In this sector, predictors play a very important role as they can be transferred into action, but at the same time, only real-time data won't help without intervention. To gauge the effectiveness and value of forecasting a trend and its fluctuating patterns, both the analysis and the intervention must be incorporated into the same system where the trend originated.

Project 5: Learn how top retail companies such as Walmart and Target use data science to analyze their product placements and inventory.
Domain - Retail
Description - Analytics is a tool used to analyze product placements on shelves or evaluate inventory that is to be kept in the warehouse by using industry examples. In this project, candidates will get to know the product evaluation cycle from shelves to the warehouse. This will help in knowing regular occurrences in the retail sector.

Project 6: Know and understand how insurance leaders such as Berkshire Hathaway, AIG, and AXA use data science by working on a real-life insurance-based project.
Domain - Insurance
Description - Predictive analytics is being used a lot in insurance businesses, especially by MNCs. All the candidates from companies that write over $1 billion in personal insurance make use of predictive modeling. It has helped the insurance companies in expanding their business in the best way possible.

Who should take this Data Analyst course in Manila?

Professionals in any industry and a knack for analysis should take up this Data Analyst training in Manila and get a great job with the help of this Data Analyst course in Manila. One can be from:

  1. IT Sector
  2. Bank and Finance 
  3. Marketing
  4. Sales
  5. Supply Chain Networking
  6. Beginners in the Data Analytics field
  7. Students in UG/PG program 

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

Learners who wish to succeed in the Data Analyst course in Manila and certification training should possess a basic knowledge of mathematics.

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

By taking the Data Analyst course in Manila, one will gain the required data analysis skills to win their dream 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

Why become a Data Analyst?

According to the World Economic Forum, by 2022, Data Analysts will be one of the top jobs in the market. Companies and organizations look at Data Analysis as one of the significant factors as it consists of playing with data, which can help any organization earn millions. Even though data analysis is in high demand, due to lack of awareness, there is a significant skill gap in data analytics, meaning that there are plentiful career opportunities.

As per the IBM report, data analytics jobs will increase demand in Finance, Insurance, and Information Technology streams. Glassdoor said in 2019 that the average salary of a Data Analyst is $67,377.

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, Manila
     course learners from Ernst & Young, Manila
     course learners from Fidelity Investments, Manila
     course learners from Johnson and Johnson, Manila
     course learners from Vodafone, Manila
     course learners from Broadcom, Manila
     course learners from Accenture, Manila
     course learners from Nomura Holdings, Manila
     course learners from Ericsson, Manila
     course learners from Infosys, Manila
     course learners from Nvidia, Manila
     course learners from Tata Consultancy Services, Manila

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

  • How do I become a Data Analyst in Philippines?

    This Data Analyst course in the Philippines developed in collaboration with IBM will give you sufficient insights into data analytics tools and methodologies to excel in your next role as a data analyst. You will earn an industry-recognized certification from IBM and Simplilearn that will attest to your new skills and on-the-job expertise. The Data Analyst 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.

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

    Upon completion of this Data ANalyst training in the Philippines, you will receive the certificates from IBM and Simplilearn in the Data Analyst 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* and Simplilearn upon successful completion of the program
    • USD 1200 worth of IBM cloud credits that you can leverage for hands-on exposure
    • Access to IBM cloud platforms featuring IBM Watson and other software for 24/7 practice

  • Is this Data Analyst course in Philippines suitable for freshers?

    Yes, the Data Analyst course in the Philippines is suitable for freshers, and this course will help them to learn analytics tools and techniques, how to work with SQL databases, the languages of R and Python, how to create data visualizations, and how to apply statistics and predictive analytics in a business environment.

  • What is the price of the Data Analyst course in Philippines?

    The price of Data Analyst training in the Philippines is $899.

  • In which cities of Philippines is the Data Analyst course conducted?

    No matter which city of Philippines you are in, be it Manila, Santa Rosa City, Lipa, Marawi City, Davao City anywhere. You can access our Data Analyst course online sitting at home or office.

  • Do you provide this Data Analyst course in Philippines with placement?

    No, currently, we do not provide any placement guarantee with the Data Analyst course.

  • Why do I need to choose Simplilearn to learn Data Analyst in Manila?

    Simplilearn provides instructor-led training, lifetime access to self-paced learning, training from industry experts, and real-life industry projects with multiple video lessons.

  • What is the salary of a data analyst master in Manila?

    A candidate with a data analyst masters certification Manila can expect to earn an annual income of ?360,986. The applicant participates in the survey procedure, which entails data analysts locating survey participants and gathering the necessary data. The information is subsequently analyzed and displayed in charts and reports. Survey data can also be entered into internet databases by data analysts.

  • What are the major companies hiring for data analyst master in Manila?

    Wells Fargo, Devex, Growsari, Showpo, and Johnson & Johnson are among the organizations that recruit candidates with data analyst masters certification Manila for prestigious jobs like as data analyst, business analyst, and data security analyst.

  • What are the major industries in Manila?

    Additional businesses in Manila include architecture, tourist industry, manufacturing, e-commerce, IT and marketing services, and fossil fuel companies. The food industry is among the most stable industrial industries in the region. Professionals with data analyst masters certification Manila are desired in these fields.

  • How to become a data analyst in Manila?

    A data analyst is a person who uses data analysis software to analyse data. The relevant repercussions they extract from raw data assist their management or clients in making key statements by detecting various facts and patterns. As a result, they should have a strong understanding of technique analysis.

  • How to find a data analyst master course in Manila?

    Simplilearn's Data Analytics curriculum is suitable for all working professionals, and no prior programming experience is necessary. It uses a program learning approach with live sessions from renowned practitioners and industry projects to address career topics including data analysis, data visualization, regression methods, and reinforcement learning in detail.

  • 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 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.

  • 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 Analyst certification course to develop the necessary skills to be successful.

  • 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.

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

    This Data Analyst training 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 Analyst certification course is specifically curated to impart those skills that employers actually consider under the Data Analyst qualification.

  • 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.

  • 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.

  • 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 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 Manila, Philippines

Manila is the Philippines' capital and the largest city. The city serves as the commercial, legal, social, and cultural hub of the country. It stretches along the eastern side of Manila Bay on the island of Luzon. The Port of Manila is the Philippines' major seaport and the country's primary international maritime gateway. Manila is noted for its impressive array of construction, which displays a variety of styles from many history and contemporary eras.

The highlands of the Sierra Madre and the slopes of the Bataan Peninsula shelter the metropolis from severe weather. A monsoon season characterizes the tropical environment.

Manila is known as the "Rome of the East" because of the numerous sites to explore in the city, such as religious institutions and historical landmarks. But there's more to the metropolis than history; there are lovely parks, theme parks, and other tourist destinations merely waiting to be discovered. Here are some incredible locations to see in Manila that you should not miss.

Find Data Science & Business Analytics Programs in Manila

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