• Next cohort Starts24th May, 2024
  • Learning FormatOnline Bootcamp
  • Course duration11 months
  • Next cohort Starts24th May, 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. The collaboration between Simplilearn and IBM gives students a unique experience, helping them distinguish themselves in Artificial Intelligence, Data Science, and other innovative technologies. This Data Analyst course in San Jose 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 San Jose, you’ll be given a course completion certificate from IBM and Simplilearn. This certificate proves that you have completed your data analyst training in this Data Analyst course in San Jose, and will give you a career advantage. 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 San Jose by Simplilearn in collaboration with IBM will give you expertise in this booming data analytics stream. This Data Analyst training in San Jose will help you become job-ready in descriptive and inferential statistics, hypothesis testing, data blending, data extracts, regression analysis, 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 San Jose, you will understand basic concepts of Mathematics and how to apply them.

This course gives you comprehensive knowledge of Data Analytics through demos and projects via CloudLab, and when you conclude this Data Analyst training in San Jose, you will become a certified global Data Analyst.

What skills will you learn in this Data Analyst course in San Jose?

This Data Analyst course in San Jose 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 San Jose 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 San Jose?

Our Data Analyst course in San Jose includes more than 15 industry-based projects so that you can succeed in business analytics and intelligence with practical experience. This Data Analyst training in San Jose 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 assess the value and efficiency of forecasting a trend and its shifting patterns, both the analysis and intervention must be integrated into the same system where the trend developed.

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 San Jose?

Professionals in any field who have an analytical mindset should go for this Data Analyst training in San Jose and land the perfect job with the help of this Data Analyst course in San Jose. 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 San Jose?

Professionals who want to succeed in our Data Analyst course in San Jose and certification training should have a basic understanding of mathematics.

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

By completing this Data Analyst course in San Jose, one will acquire the necessary data analysis skills to land their dream job as an expert 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. Because of a lack of awareness, there is a huge skill gap in the field of data analytics despite the demand for data analysis,which means that there are many excellent 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
    • Learn Power BI Desktop layouts, BI reports, dashboards, and more
    • 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, San Jose
     course learners from Ernst & Young, San Jose
     course learners from Fidelity Investments, San Jose
     course learners from Johnson and Johnson, San Jose
     course learners from Vodafone, San Jose
     course learners from Broadcom, San Jose
     course learners from Accenture, San Jose
     course learners from Nomura Holdings, San Jose
     course learners from Ericsson, San Jose
     course learners from Infosys, San Jose
     course learners from Nvidia, San Jose
     course learners from Tata Consultancy Services, San Jose

Learner Reviews

Financing

The admission fee for this program is $ 1,449

Pay in Installments

You can pay monthly installments for Programs using Splitit, ClimbCredit or Klarna payment option with low APR and no hidden fees.

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We provide the following options for one-time payment

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$ 1,449

Data Analyst Training FAQs

  • What does a Data Analyst do?

    Data analysts play a unique role among the many data-centric jobs often found in today's businesses. A Data Analyst commonly works on collecting and interpreting data, analyzing the outcome, and reporting the results back to the relevant team. A Data Analyst also works closely with identifying patterns and trends in data sets, working alongside organizations within the business or the management team to establish business needs, define new data collection and analysis processes, and add real value to a company.

  • 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.

  • What is the average salary of a Data Analyst?

    Although data analysts are well-paid worldwide and exponential demand for data analysts will never decline, data analysts' salaries vary in different sectors and nations. Data analysts' salaries depend on their skills, experience, company & location. Our Data Analyst course helps you achieve a higher salary, expertise, and skills to succeed in this lucrative growing profession. The average annual salary in top countries is:

  • 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 is the salary of a Data Analyst in San Jose?

    The Data Analyst course in San Jose is one of the highest demanded disciplines that impart the skills related to SQL, critical thinking, and smooth communication. The average yearly salary earned by a Data Analyst in San Jose is around $83688. Like any other profession, the competition is very high in the field that demands consistent polishing of skills and acquiring the latest domain knowledge.

  • What are the major companies hiring Data Analysts in San Jose?

    The Data Analysts are quite high in demand in San Jose, with a great future proposition. The prominent companies hiring Data Analysts in San Jose are Apple Inc., PayPal Inc., Atika Technologies, Genesis10, Nextaff, and many more. After completing the Data Analyst course in San Jose, one will be able to gain excellent opportunities.

  • What are the major industries in San Jose?

    The primary industries that contribute to GDP growth in San Jose include manufacturing, healthcare, social service, high tech, and internet industries. Being the center for technological advancements, the Data Analyst training in San Jose is one of the most acceptable options available to professionals to polish their existing skills and move ahead on the path of growth and success.

  • 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

  • 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.

  • 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 a data analyst on your first attempt. They engage students proactively to ensure the course path is 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. You will have lifetime access to the community forum, even after completing your data analyst course with us.

  • What is the job market for data analysts?

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

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

Data Analyst Course in San Jose

San Jose is the most populous city and is well-known for its cultural, economic, and political significance. San Jose is the tenth most populous city in the powerful country of the United States, with a total population of 1021795 people, according to 2019 statistics. San Jose, California, is a gorgeous city with a land area of 179.97 square miles. The CSA of San Jose and San Francisco work together, with a total GDP of $1 billion in 2018.

San Jose, the Silicon Valley's capital, has a Mediterranean climate. San Jose is nestled in the Santa Clara Valley, sandwiched between the Diablo and Santa Cruz mountain ranges to the east and west, adding to its attractiveness. It contains around 15,950 acres of parks inside its municipal boundaries. San Jose has the most millionaires and billionaires in the country, making it the most economically powerful city.

San Jose is a lovely city with a thriving performing arts scene. The city is loaded with beautiful sites to visit, including parks, museums, observatories, monuments, statues, and much more. Exploring the city is a fascinating experience, made even more exciting by the ideal temperature and pleasant people. The following are the finest sites to visit in San Jose:

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