Data Analyst
This comprehensive Data Analytics program, developed in collaboration with IBM, equips you with expert-level proficiency in the field of data analysis. The Data Analyst course empowers you to learn cutting-edge analytics tools and techniques, harness SQL databases, utilize R and Python programming languages, create impactful data visualizations, and apply statistical methods and predictive analytics within a business context. Notably, this Data Analytics certification course includes enlightening Masterclasses conducted by IBM experts.
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 Data Analytics Course
In partnership with IBM, this Data Analyst program will revolutionize your skills, shaping you into an adept professional in data analytics. Throughout this Data Analytics training, you’ll acquire knowledge about the most current analytics methodologies and tools. This encompasses proficiency in handling SQL databases, utilizing programming languages such as R and Python, mastering data visualization techniques, and applying statistical and predictive analysis within a business context.
A comprehensive Blended Learning method that empowers learners to excel in data analysis. Through this Data Analytics certification course, developed in conjunction with IBM, students will be equipped with the expertise necessary to seamlessly transition into prominent data analyst positions within the industry.A
Delivered in collaboration with IBM, the Data Analyst course offers an extensive and comprehensive education in the dynamic field of data analytics. The curriculum of this Data Analyst course also encompasses acquiring proficiency in data visualization techniques using tools like Tableau and Power BI, along with the ability to structure data and create impactful dashboards. Tailored to empower individuals from non-technical backgrounds, this Data Analyst course is designed to facilitate the easy acquisition of job-ready data analytics skills. It is particularly well-suited for those who possess a fundamental grasp of mathematical concepts and are motivated to acquire programming and other essential proficiencies. Completing the Data Analytics certification course will set individuals on the path to becoming accomplished Data Analysts. Structured as a comprehensive learning experience, this Data Analyst course combines live-online instructor-led classes with self-paced instructional videos. The curriculum seamlessly interweaves theoretical data analytics concepts with practical demonstrations and project assignments. Culminating in a capstone project, this Data Analyst course reinforces learning by guiding participants in creating an industry-relevant product that encompasses all the critical aspects covered throughout the program. The skills honed through this Data Analyst training equips you to confidently step into the role of a proficient Data Analyst.
According to the World Economic Forum’s projections, Data Analysts are poised to become one of the most sought-after roles in the job market by 2025. Organizations recognize the immense value that data analysis brings, as it aids in deriving meaningful insights from data. In today’s business landscape, where over 2.5 quintillion bytes of data are generated daily, data has become more abundant and accessible than ever before. In light of the widening skill gap in data analytics, the significance of Data Analysts continues to surge, leading to the creation of new job opportunities and avenues for career progression.
The reality is that professionals who enter the Data Analytics field at this juncture will have a wealth of job options at their disposal, accompanied by competitive salaries. The Future of Jobs Report 2020 anticipates that around 85 million jobs could undergo displacement due to shifts in labor division between humans and machines by 2025. Roles that are anticipated to experience escalating demand encompass positions such as data analysts and scientists, specialists in AI and machine learning, robotics engineers, software and application developers, as well as experts in digital transformation.
Once you successfully finish Data Analyst Courses online, you’ll be awarded certificates from both IBM for their respective courses and for all the modules within the learning path. These certificates serve as official documentation of your acquired skills and validate your expertise in Data Analytics. Additionally, you’ll have access to the following advantages as part of this Data Analytics certification course:
Masterclasses by IBM Experts: Engage in specialized sessions conducted by experts from IBM, providing you with in-depth insights and knowledge.
Ask Me Anything Sessions with IBM Leadership: Benefit from interactive Q&A sessions with leadership figures at IBM, offering you a chance to glean valuable perspectives and insights.
Exclusive Hackathons by IBM: Participate in unique Hackathon events organized by IBM, allowing you to apply your skills in real-world scenarios and enhance your problem-solving capabilities.
Industry-Recognized Data Analyst Master’s Certificate: Upon completing the program, you’ll receive a prestigious Data Analyst Master’s certificate that holds recognition within the industry, underscoring your proficiency in the field of Data Analytics.
In this Data Analytics certification course, you’ll have the opportunity to engage with over 20 real-life, industry-oriented projects across diverse domains, aiding you in mastering a variety of data analytics concepts.
Capstone Project: For the capstone project, you’ll be guided through dedicated mentor sessions as you create a high-quality industry project. This project entails solving a pertinent industry-related issue by leveraging the skills and technologies you’ve acquired throughout the program. The capstone project will comprehensively cover all key aspects of data analytics, from data extraction, cleaning, and visualization to model development and refinement. You’ll also have the choice to select a domain or industry dataset of your preference from the available options. Upon successful completion and submission of the project, you’ll receive a capstone certificate, which serves as evidence of your learning and expertise and can be showcased to potential employers.
Course End Projects: The course also includes several end projects that simulate business scenarios, aiding in the application of concepts learned during specific course segments. These projects generally require around 3 to 4 hours to complete. Here are a few examples of these projects:
App Rating Recommendations (Technology): Predict app ratings along with other app-related information to assist the Google Play Store team in enhancing app visibility.
Comcast Telecom Customer Complaints (Telecommunications): Utilize an existing database of customer complaints to devise solutions for improving customer satisfaction at Comcast.
E-commerce Sales Dashboard (E-commerce): Design a sales dashboard to analyze sales based on different product categories, facilitating easier product selection for users and boosting sales.
Comparative Study of Countries (Geo-political): Create a dashboard for comparing various countries using sample insurance data and world development indicators.
Sales Performance Analysis (Retail): Develop a dashboard showcasing monthly sales performance by product segment and category to aid clients in assessing sales targets.
Analysis of Sales Report of a Clothes Manufacturing Outlet (Manufacturing): Automate product attribute recommendations, predict sales trends, understand sales factors, and standardize product ratings for a fashion retail store.
College Admission (Education): Analyze factors influencing student admission to U.S. colleges, helping the education department streamline the process.
Identifying and Recommending the Best Restaurants (Food): Revamp a restaurant portal using intelligent automation, focusing on high-star restaurants and generating recommendations.
Predicting Loan Defaulters (Banking): Build a credit risk scoring model to predict potential vehicle loan defaults for financial institutions.
Examining Factors Responsible for Heart Attacks (Healthcare): Study data related to cardiovascular health to identify factors contributing to heart attacks and predict potential heart attacks.
Currently, data analytics stands as one of the most in-demand career fields. To enter this domain, you can opt for an online course that starts from the basics and progresses to advanced concepts. When choosing a reputable certification course, ensure that its syllabus encompasses all the fundamental concepts that are crucial for a successful career as a data analyst.
The Data Analytics course curriculum should cover a range of topics including essential analytics tools and techniques, proficiency in programming with languages like Python or R, grasp of descriptive and inferential statistics, proficiency in working with SQL databases, understanding data blending techniques, conducting hypothesis testing, mastering data extraction methodologies, and becoming adept at regression analysis, among other critical areas. Additionally, the syllabus should introduce you to crucial tools such as MS Excel, Power BI, NumPy, and Tableau, enhancing your skills and versatility in the field.
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Tools Covered
Data Analytics Certification Learning Path
Course 1
Business Analytics with Excel
Elevate your Data Analytics career by enhancing your proficiency in Microsoft® Excel through this comprehensive course. This program not only equips you with advanced Excel skills but also delves into Business Analytics training. By completing this course and obtaining an official certificate, you’ll set yourself on a trajectory towards a prosperous and rewarding career journey in the field of 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.
