• 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, IBM has been known as one of the largest technology and consulting employers globally, with more than 350,000 employees who work with clients in 170 countries. It has collaborated with Simplilearn to give students a once-in-a-lifetime kind of exposure helping them outstand themselves in Artificial Intelligence and Data Science. Simplilearn’s Data Analyst course in Houston is one of the most popular courses for students as it offers excellent data analysis skills.

After partnering with Watson, IBM is working on an AI platform for business, powered by data and trying to build industry-based solutions for real-world problems. IBM has defined the future of Information Technology with more than 3000 researchers in 12 labs located across six continents in the last seven decades.

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

Once you complete your Data Analyst course in Houston, you’ll be given a course completion certificate from IBM and Simplilearn. This certificate will act as evidence that you have undergone your data analyst training through this Data Analyst course in Houston and will help you achieve success in 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 Analysis 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?

The Data Analyst Master's program by Simplilearn, which is known to have been developed in collaboration with IBM, aims to provide people with immense expertise in booming data analytics. A Data Analyst course in Houston for certified training aids in teaching ways to master inferential and descriptive statistics, hypothesis testing, data blending, regression analysis, forecasting, and data extracts. With such a course, one can also gain data visualization expertise techniques using Power BI and Tableau coupled with learning how data can be organized, and dashboards can be designed. With the help of such a course, people with a simple understanding of mathematical concepts can also complete the course and become data analytics experts.

Such a learning experience helps to blend the knowledge of Data Analytics with demos and projects through CloudLab. With the successful completion of the course in Houston, one will possess all the required skills to become a Data Analyst successfully.

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

The learning path of the Data Analyst course in Houston and its master program has been designed specifically to provide tools required to be successful in the field of Data Analysis. It also helps in providing a competitive edge, and therefore, by the end of the Data Analyst course in Houston, one will be able to: 

  • Comprehend important statistical topics such as measures of central tendency, regression, correlation, and dispersion
  • Master SQL command, Universal Query Tool, and other such SQL concepts
  • Write one's first Python program with the implementation of concepts of conditions, functions, variables, loops, and strings 
  • Comprehend the implications of sets, conditions, dictionaries, lists, branching, classes, and objects in Python 
  • Work with data via Python, and this includes writing and reading of files, working, loading, and saving up data with the help of Pandas
  • Acquire knowledge about the interpretation of data in Python by the use of NumPy's multidimensional arrays, Pandas' DataFrames, the library of mathematical routines by SciPy, and the execution of machine learning with the help of Scikit-Learn 
  • Using popular Python libraries to perform data analytics
  • Gaining insights on various libraries for data visualization in Python such as Folium, Matplotlib, and Seaborn 
  • Gaining a deep understanding of the basics of R and learning to write one's R scripts 
  • Understand the execution of various statements in R while mastering R programming in the process 
  • Using and understanding linear and non-linear models of regression and techniques of classification for data analysis 
  • Using and learning K-means, hierarchical clustering, DBSCAN, and other such clustering methods 
  • Gaining an elementary knowledge of the business analytics that are using Excel 
  • Gaining cognizance about the latest visualization tools and Microsoft analytics 
  • Becoming proficient with Tableau statistics by grasping the concepts of Tableau Desktop 10 and, after that, building enticing dashboards
  • Becoming an expert on techniques for visualization like treemap, heat map, Gantt chart, Pareto, market basket analysis, and waterfall

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

A Data Analyst course in Houston generally includes about 15+ industry bases and real-life projects on various aspects to help a person to master the concepts of business intelligence and analytics, such as data visualization, decision trees, data blending, and many more. Various projects are mentioned hereafter:

Project 1: Examining how big companies such as Flipkart and Amazon make the use of tools of business intelligence for performing category analysis
Project Title: Category Performance Analysis
Description: According to the Performance Evaluation Program, the subcategories that yield a consistent profit for the previous four years are awarded as the Best Performing Subcategories. One can help the manager identify the top subcategories based on the profits earned and use the advanced features of the dashboard for portraying a full picture of the subcategory sales.
 
Project 2: Learning how BSE, NSE, NASDAQ, and other such stock markets leverage data analytics and science for arriving at consumable data from complicated datasets
Domain: Stock Market
Description: Being part of a Data Analyst course in Houston, one will import data using Yahoo data reader for many companies such as Yahoo, Google, Apple, Microsoft, and Amazon. One can also perform fundamental analytics, which includes plotting closing price, performing daily return analysis, plotting stock trade by volume, and showing the correlation between various stocks using a pair plot.

Project 3: Watch how various banks like Bank of America, HDFC, Citigroup, and ICICI make use of data analysis for staying ahead of the competition
Domain: Banking
Description: To convince potential customers to invest in a bank term deposit, a Portuguese banking institution once ran marketing campaigns which were conducted via phone calls. There were times when the very same customer ended up being contacted a few times. Your job is to analyze all the data collected from such a marketing campaign.

Project 4: Learn how leaders of many famous healthcare industries use data analysis for leveraging business 
Domain: Healthcare
Description: For mediating hospital readmissions, Predictive Analytics can effectively be used. Predictors are very useful in healthcare and other industries when they can be shifted into action, but without intervention, real-time and historical data are worthless. For judging the value and efficiency of a forecasted trend and dynamic behavior, both the invention and the predictor must be integrated into a similar system and workflow at the place where the trend happened originally. 

Project 5: Understanding how Amazon, Walmart, Target, and other leading retail companies use data analysis for optimizing and analyzing their inventory and product placements
Domain: Retail
Description: Analytics is used for the optimization of product placements on shelves or inventory in warehouses using industry examples. With this project, participants can learn the cycle of product optimization from warehouses to shelves. This helps retail sectors to provide insights into regular occurrences.

Project 6: Understanding how AIG, Berkshire Hathaway, AXA, and other insurance leaders use data analysis by working on insurance-based real-life projects
Domain: Insurance
Description: According to the Insurance Predictive Modeling Survey conducted in 2013, the use of predictive analytics in the Data Analyst course in Houston has significantly increased in big companies. Though the survey depicted an increase in predictive modelling all through the industry, respondents from many companies that are known to write personal insurance of over $1 billion employ it, as and when compared to 69% of the companies with a comparatively lesser premium.

Who should take this Data Analyst course in Houston?

Professionals of any educational background who are aspiring and possess an analytical frame of mind are best for pursuing a Data Analyst course in Houston; this includes:

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

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

The professionals who desire to succeed in the Data Analyst course in Houston and its certification training should possess the basic know-how of mathematics.

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

By completing a Data Analyst course in Houston, one will thereby possess the necessary skills in data analysis to win one's dream job as a renowned 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?

As predicted by the World Economic Forum, 2022 will witness Data Analysts as one of the top emerging jobs in society. Data analysis is viewed by organizations today as one of the most important specialties for the future due to the value the data is capable of delivering. Considering a Data Analyst course in Houston, data in the business environment in this day and age is much more accessible and abundant than ever. Each day, about 2.5 quintillion bytes of data are created. Data analyzers' value will continue to grow while creating new jobs and advancement opportunities for a career with an increasing skill gap in data analytics.

Professionals who enter the field of Data Analytics are known to reap the benefits of picking up a job and enjoying fruitful salaries. According to a report by IBM, Data Analyst courses in Houston and related jobs have been predicted to increase in 2021 to 2.72 million jobs by 15%, coupled with the most prominent demand for Financial Data Analysts, IT, and Insurance. According to Glassdoor, in 2019, Data Analysts earn about $67,366 as an average pay.

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

Learner Reviews

Financing

The admission fee for this program is $ 1,449

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$ 1,449

Data Analyst Training FAQs

  • 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.

  • 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 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.

  • How do I become a Data Analyst?

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

    Upon completion of this Data Analyst course in Houston, you will receive the certificates from IBM and Simplilearn for courses in the learning path. These certificates will testify to your skills as an expert in Data Analysis. 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

  • How do I enroll for the Data Analyst course in Houston?

    You can enroll in this Data Analyst certification training in Houston 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.

  • 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

  • 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.

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