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 databases, the languages of R and Python, the art of creating data visualizations, and how to apply statistics and predictive analytics in a business environment.
This joint partnership between Simplilearn and IBM introduces students to an integrated Blended Learning approach, making them experts in data analysis. This Data Analyst certification course, in collaboration with IBM will help students become industry-ready for top data analyst job roles.
What can I expect from Simplilearn's Data Analyst course?
Upon completion of this Data Analyst course online, you will receive IBM certificates for the IBM courses and Simplilearn certificates for all the courses in the learning path. These certificates will testify for your skills and assert your Data Analytics expertise. You can also avail the following benefits as part of this program:
Masterclasses by IBM experts
Ask Me Anything sessions with IBM leadership
Exclusive Hackathons conducted by IBM
Industry-recognized Data Analyst Master’s certificate from Simplilearn
Simplilearn’s Data Analyst course delivered in collaboration with IBM will provide you with extensive expertise in the booming field of data analytics. This Data Analyst certification training will teach you how to master descriptive and inferential statistics, hypothesis testing, regression analysis, data blending, data extraction, and forecasting. Through this data analytics course online certification, you will also gain expertise in data visualization techniques using Tableau and Power BI, learn how to organize data and design dashboards.
This Data Analyst certification online course is designed to also help those currently employed in the non-technical workforce learn work-ready Data Analytics skills easily. Those with a basic understanding of mathematical concepts and with the intent to learn programming and other required skills will be able to complete the course and be on their way to becoming a Data Analyst.
This Data Analyst certification offers a comprehensive course curriculum combining live-online instructor-led classes and self-paced learning videos. The learning experience seamlessly melds theoretical Data Analytics concepts with hands-on demos and projects. This Data Analyst certification course concludes with a Capstone project designed to reinforce the learning by building an industry-relevant product encompassing all the key aspects learned over the course of the program. The skills acquired through this Data Analyst training will prepare you for the role of a Data Analyst.
The World Economic Forum predicts that, by 2025, Data Analysts will be one of the hottest jobs on the market. Organizations view data analysis as one of the most crucial skills due to the value that they can help derive from data. With over 2.5 quintillion bytes of data created each day, data is more abundant and accessible than ever in today’s business environment, and with the ever-increasing skill gap in data analytics today, the value of Data Analysts is continuing to grow, creating new jobs, and career advancement opportunities.
The fact is that professionals who enter the Data Analytics field now will have their pick of jobs and enjoy lucrative salaries. Future of Jobs Report 2020 estimates that, by 2025, 85 million jobs may be displaced by a shift in the division of labor between humans and machines. Roles growing in demand include data analysts and scientists, AI and machine learning specialists, robotics engineers, software and application developers, and digital transformation specialists.
The facts are that professionals who enter the Data Analytics field will have their pick of jobs and enjoy lucrative salaries. According to an IBM report, data and analytics jobs are predicted to increase by 15 percent to 2.72 million jobs by 2020, with the most significant demand for Data Analysts in finance, insurance, and information technology. Data Analysts earn an average pay of $67,377 in 2019 according to Glassdoor.
The learning path in this Data Analyst course is specifically designed to give you the skills you need to be successful in Data Analytics and help you obtain a competitive edge. By the end of this Data Analyst certification training, you will:
Understand essential statistical concepts including measures of central tendency, dispersion, correlation, and regression
Master SQL concepts such as Universal Query Tool and SQL command
Write your first Python program by implementing concepts of variables, strings, functions, loops, and conditions
Understand the nuances of lists, sets, dictionaries, conditions and branching, objects and classes in Python
Work with data in Python, including reading and writing files, loading, working, and saving data with Pandas
Learn how to interpret data in Python using multi-dimensional arrays in NumPy, manipulate DataFrames in pandas, use SciPy library of mathematical routines, and execute machine learning using Scikit-Learn
Perform data analytics using popular Python libraries
Gain insights into several data visualization libraries in Python; including Matplotlib, Seaborn, and Folium
Gain an in-depth understanding of the basics of R, and learn how to write your own R scripts
Master R programming and understand how various statements are executed in R
Understand and use linear and non-linear regression models and classification techniques for data analysis
Learn and use clustering methods including K-means, DBSCAN, and hierarchical clustering
Gain a foundational understanding of business analytics using Excel
Get introduced to the latest Microsoft analytics and visualization tools (Power BI)
Grasp the concepts of Tableau Desktop 10, and become proficient in Tableau statistics and building interactive dashboards
Become an expert on visualization techniques such as heat map, treemap, waterfall, Pareto, Gantt chart, and market basket analysis
This Data Analyst course includes 20+ real-life, industry-based projects in different domains to help you master various concepts in data analytics.
You will go through dedicated mentor classes in order to create a high-quality industry project, solving an industry-relevant problem leveraging the skills and technologies learned throughout the program. The capstone project will cover all the key aspects of data analytics - from data extraction, cleaning, and visualization to model building and tuning. You also get to choose the domain/industry dataset you want to work on from the options available.
After successful submission of the project, you will be awarded a capstone certificate that can be showcased to potential employers as a testament to your learning and expertise.
Course End Projects
Projects that mimic business problems to help apply the concepts learned during a specific course. Typically these projects take 3 - 4 hours to complete.
Projects are as follows:
APP RATING RECOMMENDATIONS
The Google Play Store team is launching a new feature that boosts the visibility of certain promising apps. This boost will manifest in multiple ways, including being displayed as higher priority in recommendations sections. Make a model to predict the app rating, with other information about the app provided.
COMCAST TELECOM CUSTOMER COMPLAINTS
Comcast is an American global telecommunication company. The firm has been providing terrible customer service and they continue to fall short despite repeated promises of improvement. Utilize the existing database of customer complaints as a repository to find a solution to improving customer satisfaction.
E-COMMERCE SALES DASHBOARD
An online e-commerce company wants to design a sales dashboard to analyze sales based on various product categories. The company wants to make it easier for users to select the products they are looking for and consequently improve sales. Help users select and review information about the products they are
COMPARATIVE STUDY OF COUNTRIES
Create a dashboard to do a comparative study of different countries on various parameters using the sample insurance data set and world development indicators data set.
SALES PERFORMANCE ANALYSIS
Build a dashboard that shows monthly sales performance by product segment and product category to help clients identify the segments and categories that have met, exceeded, or failed their sales targets.
ANALYSIS OF SALES REPORT OF A CLOTHES MANUFACTURING OUTLET
A high-end fashion retail store is looking to expand its product line. It wants to understand the market and find the current trends in the industry. Automate the recommendations of the attributes of the products, predict sales trends, understand the factors impacting sales, and regularize the rating procedure of the product with the given data sets.
Every year, thousands of applications are submitted by international students for admission to colleges in the U.S. It becomes an iterative task for the Education Department to know the total number of
applications received and then compare that data with the total number of applications successfully accepted and visas processed. Hence, to make the entire process easy, the education department in the U.S. needs to analyze the factors that influence the admission of a student into colleges.
IDENTIFYING AND RECOMMENDING BEST RESTAURANTS
A restaurant consolidator is looking to revamp the B2C portal using intelligent automation technology. This requires creating two different matrices to identify “high-star” restaurants and generate recommendations. To create an effective model, it is critical to understand the behavior of the
consumers who are generating the data. You are required to create reports on the top-rated restaurants, generate recommendations by inspecting data and utilizing exploratory data analysis, share your findings to all stakeholders through intuitive dashboards.
PREDICTING LOAN DEFAULTERS
Financial institutions incur significant losses due to the defaults on vehicle loans. This has led to the tightening up of vehicle loan underwriting and increased loan rejection rates. The need for a better credit risk scoring model among these institutions is evident. This warrants a study to estimate the determinants of vehicle loan default rates. Determine and examine factors that affect the ratio of vehicle loan defaulters. Also, use the findings to create a model to predict potential defaults on agreements.
EXAMINING FACTORS RESPONSIBLE FOR HEART ATTACKS
Cardiovascular diseases are one of the leading causes of death globally. Identifying the causes and developing a system to predict potential heart attacks in an effective manner is critical. The data presented has all the information about relevant factors that might have an impact on cardiovascular health. The data needs to be studied in detail for further analysis. Determine and examine the factors that play a significant role in increasing the rate of heart attacks. Also, use the findings to create and
predict a model.
Aspiring professionals from all educational backgrounds and with an analytical frame of mind are best suited to pursue the Data Analyst course. This includes:
Banking and finance professionals
Supply chain network managers
Beginners in the data analytics domain
Students in UG/ PG programs
Professionals wishing to succeed in this Data Analyst certification training should have basic knowledge of mathematics.
Upon completing the Data Analyst program, you will have the data analytics skills necessary to get your dream job in the data analytics space. Apart from Data Analyst, other jobs titles include:
Data Analytics Manager/Lead
Business Analyst/Senior Business Analyst
Business Intelligence Analyst
Business Intelligence Engineer
Various managerial roles
Named by Onalytica as one of the three most influential people in Big Data, Ronald is also an author of a number of leading Big Data and Data Science websites, including Datafloq, Data Science Central, and The Guardian. He also regularly speaks at renowned events.
Simplilearn’s Data Analytics for beginners course will give you insights into how to apply data and analytics principles in your business. Learning analytics, data visualization, and data science methodologies through this course will make you capable of driving better business decisions and ROI.
Boost your analytics career with powerful new Microsoft® Excel skills by taking this Business Analytics course, which includes training on Power BI. These two commonly used tools, combined with official business analytics certification, will put you on the path of a successful career.
Learn how to perform Data Analytics with Python using multi-dimensional arrays in NumPy, manipulate DataFrames in pandas, use SciPy library of mathematical routines, and perform machine learning using scikit-learn. This Data Analytics course will take you from the basics of Python to exploring many different types of data. You will learn how to prepare data for analysis, perform simple statistical analyses, create meaningful data visualizations, predict future trends from data, and more.
This Tableau certification course helps you master Tableau Desktop, a world-wide utilized data visualization, reporting, and business intelligence tool. Advance your career in analytics through our Tableau training and gain job-ready skills. Tableau certification is highly regarded by companies for data-related jobs and our Tableau online course trains you to use the tool effectively for preparing data, creating interactive dashboards, adding different dimensions, and drilling into outliers.
Simplilearn’s Data Analyst Capstone project will give you an opportunity to implement the skills you learned in the Data Analytics certification course. With dedicated mentoring sessions, you’ll know how to solve a real industry-aligned problem. The project is the final step in the learning path and will help you to showcase your expertise to employers.
Our Data Analyst course is exhaustive and this certificate is proof that you have taken a big leap in mastering the domain.
The knowledge and Data Analytics skills you've gained working on projects, simulations, case studies will set you ahead of competition.
Talk about your Data Analyst certification on LinkedIn, Twitter, Facebook, boost your resume or frame it - tell your friends and colleagues about it.
I'm happy to share that I have completed my Master's program in Data Analysis and Business Analytics with Simplilearn. It was a fantastic learning experience, and I would like to thanks Simplilearn for letting me acquire this new skill. I'm also glad that I have come across several new connections.
Data Analyst 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 this program.
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 Analyser 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.
Some of the top industries using data analysis include Data Assurance, Retail, Finance, Entertainment, Government and Public sector, Higher Education, Sharing economy services, Sales & Marketing, Agriculture, Business Intelligence, Healthcare, and Data Quality. With the data analyst training, you can develop job-ready skills to start in this in-demand career.
There is undoubtedly great demand for data analytics as 96% of organizations seek to hire Data Analysts. The most significant data analyst companies that employ graduates who wish to have a data analyst career are Manthan, SAP, Oracle, Accenture Analytics, Alteryx, Qlik, Mu Sigma Analytics, Fractal Analytics, and Tiger Analytics. Professional data analyst training will make you become a magician of any organization, and you will spin insights by playing with big data.
The curriculum of Simplilearn's Data Analyst course covers concepts, tools, and methodologies for guiding the growth and transformation of an organization – much beyond fundamental data analysis and statistics. Consider our data analyst certification to get essential data analytics expertise and quickly get your entry-level data analyst job.
Many analyst roles are pretty nuanced, and therefore, it is hard to determine which skills are needed significantly. Data Analyst certification is an increasingly worthwhile investment and helps you secure the right skills with better pay. However, some of the top skills for data analysts are:
Career openings are available practically from all industries, from telecommunications to retail, banking, healthcare, and even fitness. Without extensive training and effort, it isn't easy to get data analyst career benefits. So, earning our Data Analyst certification will allow you to keep up-to-date on recent trends in the industry.
Because the profession is vital to business development, most companies require a data analyst, and new graduates also have excellent job opportunities. If you aim to become more competitive, then it is worth earning the Data Analyst certification. Explore your educational opportunities and start creating a solid basis for data analyst skills.
The Data Analyst course is best suited for aspiring professionals of any educational background with a framework, including:
Professionals who would like to successfully complete this data analyst course should have the basic mathematical knowledge and problem-solving skills.
This Data Analytics certification 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 certification from IBM and Simplilearn that will attest to your new skills and on-the-job expertise. The Data Analyst online 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.
Although data analysts are well-paid worldwide and exponential data analyst's demand 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 certification helps you achieve a higher salary, expertise, and skills to succeed in this lucrative growing profession. The average annual salary in top countries is:
Data Analytics is one of the major areas to explore in this digitalized world. To learn data analytics, 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 Bootcamp 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.
Yes, anyone embarking on a career as Data Analyst can take Data Analytics Courses Online. Getting certified will demonstrate your seriousness towards the field and help you build a strong foundation of the data analytics concepts.
If you have a computer science or related background and you are good at mathematics, statistics, and dealing with data, then chances are a Data Analyst role will be a great fit for you. With accelerating digital transformation across all industries, data analysts will be in high demand in the future. You can get started with this Data Analytics course to develop the necessary skills to be successful.
This Data Analyst certification 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.
This Data Analytics 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 Analytics Course Online is specifically curated to impart those skills that employers actually consider under the Data Analyst qualification.
There are many professionals who want to start a career as Data Analyst but skeptical about where to begin. Simplilearn has addressed this concern by helping candidates learn everything from scratch. So, beginners will find it easy to comprehend the course material right from day one.
Upon completion of this Data Analyst training, you will receive the certificates from IBM and Simplilearn for courses in the learning path. These certificates will testify to your skills as an expert in Data Analytics. You will also receive the following:
Following are the list of courses for which you will get IBM certificates:
Yes, our Data Analyst certification 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.
The best part about stepping into the data analysis profession is that it offers many job opportunities to choose from. Earning a Data Analyst certification opens doors to various job roles, namely Data Analytics Manager/Lead; Business Analyst/Senior Business Analyst; Business Intelligence Analyst; Business Intelligence Engineer; and various managerial roles.
Companies look for specialized technical skills when hiring a Data Analyst. Professionals who are skilled in data mining, statistics, core math, problem-solving, and storytelling fare better for the role of a Data Analyst. Good communication skills are also necessary as data analysts have to share their findings with the team and various stakeholders involved in any project. You can build all of these skills with our Data Analyst training.
Upon completion of the following minimum requirements, you will be eligible to receive the certificate that will testify to your skills as an expert in Data Analyst.
|Course||Course completion certificate||Criteria|
|Introduction to Data Analytics||Required||85% of Online Self Paced completion|
|Data Analytics with Python||Required||85% of Online Self Paced completion|
|Data Science with R||Required||85% of Online Self Paced completion or Attendance of 1 Live Virtual Classroom, And Score above 75% in the course-end assessment And successful evaluation in at least 1 project|
|Business Analytics with Excel||Required||85% of online self-paced completion and successful evaluation in at least one project|
|Tableau Desktop 10 Training||Required||85% of online self-paced completion OR attendance of one live virtual class and successful evaluation of at least one project|
|Power BI||Required||85% of Online Self Paced completion|
|Data Analyst Capstone||Required||Attendance of one Live Virtual Classroom AND successful evaluation in at least one project|
Simplilearn’s Data Analytics 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.
You can apply for data analytics related job roles as an entry-level professional after you complete this Data Analyst training. The opportunities for data analysts are not limited to the IT industry but exist in other areas like marketing, finance, pharma, and retail.
You can enroll in this Data Analyst certification training on our website and make an online payment using any of the following options:
Once payment is received you will automatically receive a payment receipt and access information via email.
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.
Contact us using the form on the right of any page on the Simplilearn website, select the Live Chat link or contact Help & Support.
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.
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.
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 Analytics course with us.
Yes, Simplilearn provides a PG program in the Data Analytics domain 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, including Statistics, Python, R, Tableau, SQL, and Power BI.
It's essential for potential and existing data professionals to stay updated with the latest trends with the industry's most relevant data analyst training and informational material. The books below allow any reader to grasp the power and use of data.
Simplilearn's Data Analyst Master’s course consists of the following courses:
Intro to Data Analytics
For admission to the Simplilearn’s Data Analyst certification course, candidates:
Should have a bachelor's degree in any discipline with an average of 50% or higher marks
A non-programming background can also apply; however, the intent to learn some programming is required to become a successful data analytics professional
Having prior work experience is not mandatory