• Next cohort Starts12th Oct, 2024
  • Next cohort Starts12th Oct, 2024
  • Program duration11 months
  • Learning FormatLive, Online, Interactive
  • Learning FormatLive, Online, Interactive

Why Join this Program

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    IBM Advantage

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

    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

Take the first step to your goals

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

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 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 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, 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 $ 1,099

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

$ 1,099

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 the job market for data analysts?

    The demand for data analysts is growing rapidly as organizations everywhere are increasingly relying on data to make crucial business decisions for better results. According to a study, in the US, the median salary for data analysts has increased recently to around USD 70,000 per year. (Source)

    Today, organizations need professionals who are adept at analyzing and interpreting complex data and revealing insights that can be used to build more effective business strategies. With the introduction of big data, data analysts are now in very high demand across sectors, particularly, BFSI, healthcare, technology, and retail. The global big data analytics market, valued at USD 307.51 billion in 2023, is projected to grow from USD 348.21 billion in 2024 to USD 924.39 billion by 2032.

    If you are looking to enter the field of data analysis and take advantage of this growing demand for data analysts, Simplilearn’s Data Analyst course is a great way to master top skills in this field, including data visualization, blending, and extraction techniques.

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.

  • Disclaimer
  • PMP, PMI, PMBOK, CAPM, PgMP, PfMP, ACP, PBA, RMP, SP, and OPM3 are registered marks of the Project Management Institute, Inc.