This Data Analyst course, in collaboration with IBM, will transform you into a data analytics expert. In this Data Analyst certification 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.
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 training will teach you how to master descriptive and inferential statistics, hypothesis testing, regression analysis, data blending, data extraction, and forecasting. Through this Data Analyst course, you will also gain expertise in data visualization techniques using Tableau and Power BI, and learn how to organize data and design dashboards.
This Data Analyst course is designed to 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 Data Analyst certification course and be on their way to becoming Data Analyst.
This Data Analyst training 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 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. 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 fee for Data Analyst course is $1999. EMI plans are available for 6, 12, and 18 months. EMI start at $125 per month.
Contact us by dialling our toll-free number 844-532-7688 to avail this payment option.
Upon completion of Simplilearn’s 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 Data Analyst certification course:
The Data Analyst course can be completed in around 12 months if you dedicate a few hours daily to learning.
This Data Analyst certification 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 by 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 a higher priority in the recommendations sections. Make a model 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 considering.
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 THE 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 and share your findings with all stakeholders through intuitive dashboards.
PREDICTING LOAN DEFAULTERS
Financial institutions incur significant losses due to 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.
Data analysis is one of the trending career domains at present. You can take an online course to learn data analysis from scratch. When selecting a reliable certification course, ensure that its syllabus includes all the important concepts helpful in a data analyst job.
The Data Analyst course syllabus includes topics like analytics tools and techniques, Python or R programming, descriptive statistics, inferential statistics, working with SQL, data blending, hypothesis testing, data extraction, and regression analysis, among others. The Data Analyst course syllabus also includes knowledge of tools like MS Excel, Power BI, NumPy, and Tableau.
Stepping into the field of data analysis can open your doors to plenty of job opportunities. You may begin as a junior data analyst and climb up the career ladder with roles like senior analyst, data scientist, analytics manager, data architect, and even Chief Data Officer. Conversely, you can take up managerial roles or consultant jobs rather than the usual career track.
The learning path in this online 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 Analysis certification course training, you will:
Aspiring professionals from all educational backgrounds and with an analytical frame of mind are best suited to pursue Data Analyst courses. This includes:
Upon completing the Data Analyst certification course, 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:
Boost your Data analytics career with powerful new Microsoft® Excel skills by taking this Data Analytics course, which includes training on Business Analytics. This combined with an official certificate will put you on the path to a successful career.
This course gives you the information you need to successfully start working with SQL databases and make use of the database in your applications. Learn the concepts of fundamental SQL statements, conditional statements, commands, joins, subqueries, and various functions to manage your SQL database for scalable growth.
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. These Data Analytics courses 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.
Discover R Programming with this introductory course. Learn how to write R code, utilize R data structures, and create your own functions.
The next step to becoming a Data Analyst is learning R—the most in-demand open-source technology. R is a powerful Data Science and analytics language, which has a steep learning curve and a very vibrant community. This is why it is quickly becoming the technology of choice for organizations that are adopting the power of analytics for competitive advantage.
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 Analyst 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 courses are exhaustive and this certificate is proof that you have taken a big leap in mastering the domain.
The knowledge and Data Analysis skills you've gained working on projects, simulations, case studies will set you ahead of competition.
Talk about your Data Analyst certificate 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 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.
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 online Data Analyst certification 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.
Many analyst roles are pretty nuanced, and therefore, it is hard to determine which skills are needed significantly. Data Analyst course is an increasingly worthwhile investment and helps you secure the right skills with better pay. Some of the top skills required 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 course. Explore your educational opportunities and start creating a solid basis for data analyst skills.
The online Data Analyst course is best suited for aspiring professionals of any educational background, including:
Professionals who would like to successfully complete this Data Analyst course should have basic mathematical knowledge and problem-solving skills.
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.
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:
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.
This p\online Data Analyst certification course consists of the following modules:
Yes, anyone embarking on a career as Data Analyst can take these Data Analyst courses. Getting certified will demonstrate your seriousness towards the field and help you build a strong foundation in data analytics concepts.
If you have a computer science or related background and you are good at mathematics, statistics, and dealing with data, then chances are a Data Analyst role will be a great fit for you. With accelerating digital transformation across all industries, data analysts will be in high demand in the future. You can get started with this Data Analyst certification course to develop the necessary skills to be successful.
This Data Analyst certification course is suitable for professionals with programming experience as well as non-programming backgrounds. However, it is recommended to have a basic understanding of programming languages like SQL, Java, Python, or R.
This Data Analyst training gives you a step-by-step guide to master all the topics that a Data Analyst should know. Apart from the theoretical knowledge, you’ll get to work on projects which will make you industry-ready. The Data Analyst certification course is specifically curated to impart those skills that employers actually consider under the Data Analyst qualification.
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 is the list of courses for which you will get IBM certificates:
Yes, our Data Analyst course is completely online. You don’t need to attend classes at a physical location. You can access the course material anywhere using a system connected to the internet.
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|
Simplilearn’s Data Analyst certification course has a rigorous curriculum designed by industry experts. It is recommended that you follow the lessons in the same order as detailed in the learning path for the best learning experience.
You can enroll in this Data Analyst 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 Request a callback.
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 Analyst course with us.
Yes, Simplilearn provides a Post Graduate Program in Data Analytics in partnership with Purdue University. The Post Graduate Program in Data Analytics will give you broad exposure to key technologies and skills currently used in Data Analytics and Data Science.
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.
You typically need a combination of education and experience in data analysis, statistics, and computer science. Here are some qualifications that can help you become a data analyst:
Try out the data analyst course. You will become a master of data analytics after taking this IBM-sponsored Data Analyst course. This course on data analytics covers the newest analytics tools and techniques, R and Python programming, SQL database administration, the art of data visualisation, and the use of statistics and predictive analytics in a business context.
Being a data analyst can be challenging as it requires a combination of technical and analytical skills, but it also can be a rewarding job. The job of a data analyst involves analyzing and interpreting large amounts of data, and using that information to help organizations make better decisions.
Data analysts need to have strong analytical and problem-solving skills, as well as experience with statistical analysis, data visualization, and data mining tools. They also need to be proficient in programming languages such as Python, R, and SQL, as well as experience with data manipulation and analysis tools such as Excel, Tableau, and SAS.
The job can be challenging because data analysts need to be able to work with large and complex data sets, and must be able to extract insights and make sense of the data. They also need to be able to communicate their findings to non-technical stakeholders and make recommendations based on the data.
Data analysis is a rapidly growing field and the demand for data analysts is increasing across many industries. Here are a few placement trends for data analysts:
Simplilearn is a well-known provider of online education and training programs in a wide range of subjects, including data analysis, machine learning, and artificial intelligence. Whether a Simplilearn certificate is valuable depends on a variety of factors such as the quality of the course, the level of the certification, and the employer's perspective on the certification.
Simplilearn provides a wide range of courses and certifications, and they have a good reputation in the online education space. They partner with industry experts and have a good curriculum, which can be valuable for professionals looking to gain new skills or advance their careers.
You will obtain IBM credentials for the IBM courses and Simplilearn certifications for every course in the learning path after completing Simplilearn's online data analyst courses. These credentials, will attest to your abilities and demonstrate your knowledge of data analytics. The following advantages are also available to you as part of this Data Analyst certification program:
The salary for a data analyst can vary depending on factors such as location, industry, and level of experience. On average, data analysts in the United States can earn a median salary of around $68,000 per year, with top earners making over $120,000 per year. It's important to note that these are approximate numbers and the actual salary can vary greatly.
A data analyst learner may work on various projects, depending on the course or program they are enrolled in. Some common types of projects that data analyst students may work on include:
It's important to check the course details and syllabus before enrolling to get more information about the projects that will be covered.
Yes, you get the recordings of all the classes so that you can revise and watch the content whenever you want! So, don't worry as you all will have lifetime access to the data analyst course.
Since these languages are frequently used for data modification and analysis, knowledge of programming languages like Python or R is frequently necessary for data analytics. For retrieving and altering data contained in databases, an understanding of SQL is essential. For the purpose of developing interactive visuals that can assist in explaining results to stakeholders, knowledge of data visualization tools like Tableau, Power BI, or ggplot is crucial. Understanding and interpreting data requires a working knowledge of statistical methods including regression analysis, correlation analysis, and hypothesis testing. Even if you are unfamiliar with any of them, you should still enroll in the course since it will help you develop these skills so that you may succeed in the data analyst course.
Data analysis is a promising career field. With the increasing amount of data being generated by businesses, governments, and individuals, there is a growing demand for professionals who can collect, process, and analyze that data to extract valuable insights. According to the Bureau of Labor Statistics (BLS), employment of data analysts and data scientists is projected to grow 11% from 2019 to 2029, much faster than the average for all occupations.
Yes, Excel skills are essential for becoming a data analyst. Proper Excel training equips you with the necessary knowledge and techniques to effectively analyze and manipulate data. Here's why Excel skills gained through training are important for aspiring data analysts:
Data Manipulation: Excel training teaches you how to efficiently clean, transform, and organize data using features like sorting, filtering, and data validation. These skills are crucial for preparing data for analysis.
Formulas and Functions: Excel training covers a wide range of formulas and functions, enabling you to perform calculations, statistical analyses, and data modeling. Understanding and utilizing these capabilities enhance your ability to derive insights from data.
Data Visualization: Excel training teaches you how to create visually appealing charts, graphs, and dashboards to present data in a meaningful way. Effective data visualization is essential for conveying findings and making data-driven recommendations.
Data Analysis Tools: Excel offers numerous built-in tools such as pivot tables, conditional formatting, and data analysis add-ins. Through training, you learn how to leverage these tools to gain deeper insights and perform complex analyses.
Efficiency and Productivity: Excel training equips you with time-saving techniques, shortcuts, and best practices. These skills improve your efficiency in handling large datasets and performing repetitive tasks, ultimately increasing your productivity as a data analyst.
Collaboration and Compatibility: Excel is widely used in organizations, making it important for data analysts to have the skills to collaborate and share data effectively. Excel training helps you understand file compatibility, data sharing options, and collaboration features within Excel.
By gaining Excel skills through training, you enhance your ability to manipulate, analyze, and visualize data efficiently, enabling you to excel in the role of a data analyst and contribute effectively to data-driven decision-making processes.
Data structure courses equip data analysts with the skills to handle and process data effectively. By learning different data structures, such as arrays, linked lists, and trees, analysts can optimize their data storage, retrieval, and manipulation techniques, ultimately improving their analytical capabilities.