Data Analyst
Gain expert-level data analysis skills with this comprehensive Data Analytics program, developed in partnership with IBM. Learn SQL, R, Python, and advanced data visualization techniques. Plus, benefit from exclusive Masterclasses by IBM experts, equipping you with the tools to excel in the world of data analytics
Top notch Data Analytics course curriculum with integrated labsDesigned & delivered for freshers & working professionals
Immersive Learning Experience8X higher live interaction in live Data Science online classes by industry experts
Capstone & 20+ Industry-Specific Data Analytics Projects to Ensure Comprehensive Learning Projects Include Banking, e-Commerce, Technology and Manufacturing
Annual Average US Salary$77K to $144K
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- About Program
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About Data Analytics Course
Developed in collaboration with IBM, this Data Analytics program is your gateway to gaining expert-level skills in data analysis. In this course, you’ll learn to leverage the latest analytics tools, work with SQL databases, code in R and Python, create engaging data visualizations, and apply statistical and predictive analytics in real-world business scenarios. What’s more, you’ll have access to exclusive Masterclasses by IBM experts to further deepen your understanding
The Data Analyst course, created in partnership with IBM, offers a thorough and robust education in the field of data analytics. This curriculum is designed to make you proficient in key tools like Tableau and Power BI, enabling you to create compelling data visualizations and impactful dashboards. Tailored for individuals from non-technical backgrounds, the course bridges the gap for those with basic math knowledge, equipping them with job-ready skills in programming and data analysis.
This Data Analytics certification course integrates live online classes with self-paced learning, providing a balanced mix of theoretical concepts and hands-on practice. With project-based learning and a capstone project, you’ll gain real-world experience by developing an industry-relevant product. By completing this course, you’ll acquire the expertise needed to confidently enter the workforce as a skilled Data Analyst.
Data Analysts are set to be among the most in-demand professionals by 2025, according to the World Economic Forum. Companies increasingly value data-driven insights, especially as the world generates over 2.5 quintillion bytes of data every day. The surge in data creation has spotlighted the importance of skilled Data Analysts who can extract meaningful information from vast data sets. This demand has fueled a growing job market with excellent career prospects and competitive salaries.
Given the significant skill gap in data analytics, entering this field now offers a strategic advantage. The Future of Jobs Report 2020 predicts that 85 million jobs may be replaced due to shifts in the workforce brought on by automation and AI. Yet, the demand for roles like Data Analysts, data scientists, AI and machine learning specialists, robotics engineers, and software developers is set to rise. This trend highlights the expanding opportunities and career growth for professionals in data analytics, making it an ideal time to start your journey in this field.
Completing a Data Analyst course online not only provides you with comprehensive training but also earns you valuable certificates from IBM and for each module within the learning path. These certifications validate your expertise in Data Analytics, serving as proof of your acquired skills to future employers. Here’s what else you can expect from a quality Data Analytics course:
Masterclasses by IBM Experts: Gain exclusive insights from industry leaders through masterclasses conducted by IBM experts. These sessions offer you a deeper understanding of the latest trends and best practices in data analytics.
Ask Me Anything Sessions with IBM Leadership: Engage directly with IBM leadership during interactive Q&A sessions. This unique opportunity allows you to ask questions and gain valuable advice from seasoned professionals in the field.
Exclusive Hackathons by IBM: Test your skills in real-world scenarios by participating in specialized hackathons. These events provide hands-on experience in problem-solving and application of your data analytics knowledge.
Industry-Recognized Data Analyst Master’s Certificate: After successfully completing the course, you’ll receive a prestigious Data Analyst Master’s certificate, recognized within the industry. This credential demonstrates your proficiency and can boost your career prospects in data analytics.
In addition to these benefits, you can expect a curriculum that combines theoretical concepts with practical exercises, ensuring you’re well-prepared to meet the demands of the data analytics job market. Overall, these courses are designed to empower you with the skills and experience needed to excel as a Data Analyst.
Hands-On Projects in the Data Analyst Course
In this Data Analytics certification course, you’ll have the chance to work on more than 20 real-world, industry-focused projects spanning various domains, allowing you to master a broad range of data analytics concepts. Here’s what to expect:
Capstone Project
The capstone project is the culmination of the Data Analytics course. Under the guidance of dedicated mentors, you’ll tackle a real-world industry problem using the skills and technologies learned throughout the program. The capstone project requires you to perform key data analytics tasks, including data extraction, cleaning, visualization, model development, and refinement. You’ll have the flexibility to choose a domain or industry dataset from a list of options. Successful completion of this project earns you a capstone certificate, which is a valuable addition to your resume and can be shared with potential employers.
Course-End Projects
In addition to the capstone, you’ll complete several smaller projects that simulate business scenarios and test your understanding of specific course topics. Each project typically requires 3 to 4 hours to complete. Here’s a sample of the projects included in the course:
App Rating Recommendations (Technology): Develop a predictive model to estimate app ratings and provide insights to the Google Play Store team for enhancing app visibility.
Comcast Telecom Customer Complaints (Telecommunications): Analyze customer complaints data to identify patterns and propose solutions for improving customer satisfaction at Comcast.
E-commerce Sales Dashboard (E-commerce): Create a dashboard to evaluate sales performance across various product categories, assisting businesses in identifying trends and boosting sales.
Comparative Study of Countries (Geo-political): Design a dashboard that compares countries using sample insurance data and world development indicators.
Sales Performance Analysis (Retail): Develop a dashboard to track monthly sales performance by product segment, helping clients assess sales targets and strategize accordingly.
Analysis of Sales Report of a Clothes Manufacturing Outlet (Manufacturing): Analyze sales data to automate product attribute recommendations and predict sales trends in a fashion retail store.
College Admission (Education): Examine factors influencing student admission to U.S. colleges, providing insights to educational institutions for streamlining the admission process.
Identifying and Recommending the Best Restaurants (Food): Build a recommendation system to identify top-rated restaurants, aiding a restaurant portal in suggesting the best dining options.
Predicting Loan Defaulters (Banking): Develop a credit risk scoring model to predict potential vehicle loan defaults, offering financial institutions a tool for assessing credit risk.
Examining Factors Responsible for Heart Attacks (Healthcare): Analyze cardiovascular health data to determine factors contributing to heart attacks and develop a model for predicting future incidents.
A comprehensive Data Analytics certification course covers both foundational and advanced concepts to prepare you for a successful career in this high-demand field. The syllabus starts with basics and advances to more complex topics, offering a solid understanding of data analytics.
Key elements include learning essential tools and techniques, programming in Python or R, and gaining proficiency in SQL databases. You’ll explore descriptive and inferential statistics, data blending, and hypothesis testing, along with mastering data extraction methods. Regression analysis, both linear and logistic, is also a critical focus.
The course introduces industry-standard tools like MS Excel, Power BI, NumPy, and Tableau for creating interactive dashboards and data visualizations. It culminates in practical projects and a capstone assignment, allowing you to apply your skills in real-world scenarios. These hands-on projects ensure you’re ready to enter the workforce as a capable Data Analyst, equipped to address the demands of a data-driven industry
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Tools Covered
Data Analytics Certification Learning Path
Course 1
Business Analytics with Excel
Elevate your career in Data Analytics by mastering Microsoft® Excel through this comprehensive course. Learn advanced Excel skills and dive into Business Analytics training. By completing this course and earning an official certificate, you’ll set the stage for a successful career in Data Analytics.
Business Analytics with Excel
A. Course Introduction
B. Introduction to Business Analytics
C. Data Cleaning and Preparation
D. Formatting, Conditional Formatting, and Important Functions
E. Spotlight
F. Analyzing Data with Pivot Tables
G. Dashboarding
H. Business Analytics With Excel
I. Spotlight
J. Data Analysis Using Statistics
K. Using Macros for Analytics
L. Spotlight
Course 2
SQL
Enroll in this course to gain the essential knowledge required for effectively engaging with SQL databases and integrating them into your applications. Explore the foundational concepts of SQL, including fundamental statements, conditional expressions, commands, joins, subqueries, and a range of functions. Acquire the skills necessary to proficiently manage your SQL database, setting the stage for its scalable growth within your applications.
A. Course Introduction
B. Introduction to SQL
C. Database Normalization and Entity Relationship (ER) Model
D. MySQL – Installation and SetUp
E. Working with Database and Tables
F. Working with Operators Constraints and Data Types
G. Functions in SQL
H. Subqueries, Operators, and Derived Tables in SQL
I. Windows Functions in SQL
J. Working with Views
K. Stored Procedures and Triggers in SQL
L. Performance Optimization and Best Practices in SQL
Course 3
Programming Basics and Data Analytics with Python
Discover the intricacies of performing Data Analytics with Python through a series of comprehensive courses. Begin by harnessing the power of multi-dimensional arrays using NumPy, followed by mastering the manipulation of DataFrames in pandas. Embrace the capabilities of the SciPy library, which offers an array of mathematical routines, and delve into the realm of machine learning with scikit-learn.
These Data Analytics courses offer a transformative journey, starting from the foundations of Python and advancing to diverse facets of data analysis. You’ll gain proficiency in data preparation for analysis, execute basic statistical evaluations, craft insightful data visualizations, predict forthcoming trends from data patterns, and more. By the end of these courses, you’ll be well-equipped to navigate various types of data, applying a comprehensive suite of skills to decipher, analyze, and extract valuable insights.
A. Learning Objective
B. Introduction
C. Data Wrangling
D. Exploratory Data Analysis
E. Model Development
F. Model Evaluation
Course 4
R Programming for Data Science
Discover R Programming with this introductory course. Learn how to write R code, utilize R data structures, and create your own functions.
A. R Programming for Data Science
Course 5
Data Analytics with R
Advancing toward becoming a proficient Data Analyst involves immersing yourself in the realm of R, an exceptionally sought-after open-source technology. Renowned for its potency in Data Science and analytics, R boasts a steep learning curve while benefiting from a dynamic and thriving community. This very characteristic contributes to its swift rise as the preferred technology for enterprises embracing the potential of analytics to gain a competitive edge. By delving into R, you position yourself to harness its capabilities and contribute to organizations capitalizing on the prowess of analytics for strategic advantage.
A. Course Introduction
B. Introduction to Data Analytics
C. Introduction to R Programming
D. Programming Fundamentals of R
E. Data Manipulation Using R
F. Data Visualization in R
G. Hypothesis Testing
H. Introduction to Machine Learning
I. Classification
J. Clustering
K. Association Mining
Course 6
Tableau Training
Enroll in our Tableau certification course to achieve mastery over Tableau Desktop, a globally renowned tool for data visualization, reporting, and business intelligence. Propel your career in analytics by undergoing our comprehensive Tableau training, equipping you with the skills needed to excel in real-world scenarios. The significance of Tableau certification is widely recognized by companies seeking candidates for data-focused roles, and our Tableau online course is meticulously designed to empower you with the aptitude to proficiently leverage the tool.
Throughout the training, you’ll learn to adeptly prepare data, construct interactive dashboards, incorporate diverse dimensions, and delve into outliers effectively. By completing this course, you’ll be well-prepared to contribute to data-driven decision-making processes and showcase your expertise to potential employers.
A. Course Introduction
B. Introduction to Data Visualization and Tableau
C. Connecting to Various Data Sources and Preparing Data
D. Working with Metadata
E. Spotlight One
F. Filters in Tableau
G. Structuring Data in Tableau
H. Creating Charts and Graphs
I. Spotlight Two
J. Calculations in Tableau
K. Advanced Visual Analytics
L. Dashboards and Stories
M. Spotlight Three
Course 7
Data Analyst Masters Capstone
The Data Analyst Capstone project is the last step in the learning process Through dedicated mentorship sessions, you will learn how to solve real-world industry-related problems. The project will allow you to present your expertise to employers.
Data Analyst Masters Casptone
Lesson 01: Introduction
Master's Program Certificate
Electives
Power BI
Electives
Industry Master Class – Data Analytics
Get Ahead with Master Certificate
Get Ahead with Master Certificate
Earn your Data Analyst course certificate
Differentiate yourself with a Masters Certificate
Get Ahead with Master Certificate
Earn your Data Analyst course certificate
Differentiate yourself with a Masters Certificate
Why Online Bootcamp
Develop skills for real career growth
A state-of-the-art curriculum developed in collaboration with industry and education to equip you with the skills you need to succeed in today’s world.
Don’t listen to trainers who aren’t in the game. Learn from the experts who are in the game.
Leading Practitioners who deliver current best practice and case studies in sessions that fit within your workflow.
Learn by working on real-world problems
Capstone projects combining real-world data sets with virtual laboratories for hands-on experience.
Structured guidance ensuring learning never stops
With 24×7 mentorship support and a network of peers who share the same values, you’ll never have to worry about conceptual uncertainty again.
AWS Cloud Architect Course FAQs
Data Analytics involves a systematic approach of examining, refining, reshaping, and modeling data to uncover valuable insights that aid in making informed decisions aligned with business objectives. This process encompasses a range of qualitative and quantitative techniques, accompanied by an array of analytical and statistical tools. The goal is to extract meaningful information from the data and convert it into actionable insights, thus facilitating improved decision-making. The comprehensive scope of Data Analytics, including its methodologies and tools, is thoroughly covered within Data Analytics Courses, ensuring a well-rounded understanding of this field.
Data analysts hold a distinct position within the spectrum of data-oriented roles prevalent in contemporary business environments. Their primary responsibilities encompass gathering and interpreting data, meticulously analyzing the outcomes, and subsequently presenting the findings to the pertinent teams. A Data Analyst’s role is further characterized by their close involvement in identifying intricate patterns and emerging trends within datasets. They collaborate extensively with organizational units, such as business departments or management teams, to ascertain business requirements, formulate innovative data collection and analysis methodologies, and contribute substantively to the company’s growth by delivering tangible value through data-driven insights.
Data Assurance
Retail
Finance
Entertainment
Government and Public sector
Higher Education
Sharing economy services
Sales & Marketing
Agriculture
Business Intelligence
Healthcare
Data Quality
The demand for data analytics is undeniably robust, with a staggering 96% of organizations actively seeking to recruit Data Analysts. A host of prominent companies specializing in data analysis consistently hire graduates aspiring to establish careers in this field.
Enrolling in professional Data Analyst training can potentially empower you to transform into a wizard within any organization. Through skillful manipulation of large datasets, you’ll conjure insights that wield significant impact. As a Data Analyst, you’ll wield the power to decipher and communicate valuable insights from data, making you a key asset in driving data-informed decisions within your organization.
Indeed, many analyst roles possess intricate nuances, making it challenging to pinpoint the most pivotal skills. However, enrolling in a Data Analyst course proves to be an increasingly valuable investment as it equips you with essential proficiencies that can lead to improved compensation.
Here are some of the paramount skills sought after for Data Analyst roles:
Structured Query Language (SQL): Mastery of SQL allows efficient manipulation and extraction of data from databases.
MATLAB: Proficiency in MATLAB aids in mathematical modeling, data analysis, and algorithm development.
R or Python – Statistical Programming: Proficiency in either R or Python enables effective statistical analysis and data manipulation.
Microsoft Excel: A fundamental tool for data manipulation, organization, and analysis.
Data Visualization: The ability to translate complex data into comprehensible visual representations.
Data Cleaning: Skill in cleansing and preparing raw data for analysis, a crucial pre-processing step.
Presentation Skills: Effectively communicating insights to non-technical stakeholders.
Critical Thinking: The capacity to assess situations, discern patterns, and deduce insightful conclusions.
Machine Learning: Familiarity with machine learning techniques enhances predictive analysis capabilities.
Linear Algebra and Calculus: A foundational understanding of these mathematical concepts bolsters analytical prowess.
By cultivating proficiency in these skills through a Data Analyst course, you position yourself to excel in data-focused roles and potentially command higher compensation due to your enhanced skill set.
Whether you’re looking for a job in telecom, retail, banking, health care, or fitness, there’s a career opportunity out there for you. However, it’s not easy to reap the rewards of a data analyst career without a lot of hard work and dedication. That’s why our Data Analytics training course will help you stay on top of the latest trends in the industry.
