Data Analytics
Data Analytics Courses Online and Certifications
In the rapidly growing world of big data, becoming a skilled data analyst can open doors to lucrative job opportunities. EdCroma offers a data analyst certification course that provides you with in-depth knowledge, hands-on experience, and the tools to excel in data analytics.
Whether you’re looking to start a new career or upskill yourself, this course is designed for anyone who wants to gain expertise in data analysis and work with real-world data. The course covers the entire lifecycle of data analytics, from data collection to advanced visualization.
Learn Data Science to analyze and interpret complex data sets.
Course Overview: What Will You Learn?
Our best data analyst course is meticulously designed to offer you both theoretical understanding and practical skills needed to succeed in today’s data-driven world. Here’s what you will learn:
- Data Collection & Cleaning: Understand how to gather and clean data from multiple sources.
- Data Exploration: Learn techniques to explore datasets, discover patterns, and uncover insights.
- Statistical Analysis: Apply key statistical methods to analyze data and interpret results.
- Tools & Technologies: Gain expertise in popular data analysis tools like Excel, SQL, Python, and Tableau.
- Data Visualization: Learn how to present data in compelling and insightful ways using visualization tools.
Explore Business Analytics and Intelligence to improve decision-making with data.
The course also includes project-based learning, allowing you to work with real datasets and solve actual business problems. By the end of this data analyst certification course, you will have the skills to clean, analyze, and interpret complex datasets.
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(Y)our Data Journey
In this session, Alasdair Moore will outline the data journey we're all on, and why it's so exciting
3 Must-have Artifacts for the Data Driven Organisation
Here's an overview of 3 important tools any organisation should be using. In this webinar you will learn what a business glossary, a data dictionary, and a data catalog are, the benefits they bring, and what the relationship between all 3 is.
9 Analytics Services to Know for the AWS Certified Cloud Practitioner Exam
A working knowledge of these nine key analytics services required for the AWS Certified Cloud Practitioner exam. Principal AWS Training Architect, Faye Ellis, walks through each service, including specific situations to apply them on the exam.
A Complete Guide to Firebase on the Web
Discover how to use Firebase for web applications, focusing on real-time databases, authentication, and deployment techniques.
A Practical Guide to SQL and Database Fundamentals
Learn databases by knowing the basics of SQL server, data normalization, components, the syntax of SQL statements, and managing databases.
A/B Testing in Python
Learn the practical uses of A/B testing in Python to run and analyze experiments. Master p-values, sanity checks, and analysis to guide business decisions.
Ace the Product Analytics Job Interview
Learn the fundamentals and strategies for interviewing for a data science job.
Achieving Advanced Insights with BigQuery
The third course in this course series is Achieving Advanced Insights with BigQuery.
Advanced Data Retrieval Techniques in SQL Server
This course will teach you advanced querying, indexing, and data analysis skills.
Advanced Operations on Arrays with NumPy
Companies have been aggressively working to harvest their large quantities of data and derive meaningful results from them. The first and most important step is to understand how to represent that data and perform mathematical computations.
Advanced Pandas
Learn to handle complex data-sets and analyze your data in a principled way with Pandas. This course will teach you advanced parts of this library, including handling higher-dimensional data, time series, window operations, joins, and plotting.
Advanced Query Optimization Techniques in SQL Server
The practical applications of advanced optimization techniques is important to address critical performance and scalability issues. This course will teach you how to effectively analyze, troubleshoot, and enhance SQL Server databases.
Why Choose EdCroma’s Data Analyst Course?
- Industry-Relevant Curriculum: The course is developed in consultation with industry experts to ensure it meets the demands of employers.
- Hands-On Learning: Every module in the course offers practical, real-world projects to help you build your portfolio.
- Job Placement Support: One of the unique aspects of this course is our data analyst course with placement. We have partnerships with leading companies, and our career services team will assist you in landing a job.
- Flexible Learning Paths: Whether you’re a beginner or an experienced professional, our course is designed to be flexible. With both a data analyst course free online with a certificate option and a comprehensive paid version, you can choose the path that best fits your needs.
Learn about Data Engineering and how to manipulate and store large datasets.
Who Should Take This Course?
This data analytics beginners course is ideal for:
- Students aiming to pursue a career in data analytics.
- Working professionals looking to transition into data analytics or enhance their current skill set.
- Entrepreneurs and business owners who want to leverage data for better decision-making.
Learn Machine Learning to unlock the power of data-driven predictions.
Course Highlights
- Flexible Learning Options: You can access this data analyst course free online with a certificate, making it an ideal choice for those testing the waters before fully committing.
- Certification: Upon completion, you will receive a globally recognized certification. Our certified data analyst course is accepted by top employers.
- Placement Support: EdCroma’s best data analyst course comes with job placement assistance, ensuring that you’re ready for the job market.
Dive into Data Visualization to represent data insights in an engaging way.
Course Modules
- Introduction to Data Analytics
Learn the fundamentals of data analytics, including types of data and data sources. - Data Collection & Cleaning
Dive deep into methods of gathering data from various sources and cleaning it for analysis. - Exploratory Data Analysis
Master the techniques of exploring data, finding patterns, and deriving insights. - Statistical Methods for Data Analysis
Apply key statistical techniques to analyze and interpret datasets. - Advanced Tools & Technologies
Gain proficiency in SQL, Python, and Tableau to work with large-scale datasets and present them visually.
Master Python programming for various applications, from web development to data science.
Certification and Placement
At the end of the course, you will receive a data analyst certification recognized by companies worldwide. Our data analyst course with placement guarantees that you’ll have access to job opportunities as soon as you finish the program.