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Top 20+ Big Data Certifications and Courses in 2023

Knowledge Hut

Problem-Solving Abilities: Many certification courses provide projects and assessments which require hands-on practice of big data tools which enhances your problem solving capabilities. Networking Opportunities: While pursuing big data certification course you are likely to interact with trainers and other data professionals.

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Top Data Analyst Courses and Certifications Online for 2023

Knowledge Hut

Here are all the abilities you need to become a Certified Data Analyst, from tool proficiency to subject knowledge: Knowledge of data analytics tools and techniques: You can gain better insights about your quantitative and qualitative data using a variety of tools.

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How to Become a Big Data Engineer in 2023

ProjectPro

You must be aware of Amazon Web Services (AWS) and the data warehousing concept to effectively store the data sets. Machine Learning: Big Data, Machine Learning, and Artificial Intelligence often go hand-in-hand. Data Scientists use ML algorithms to make predictions on the data sets.

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20+ Data Engineering Projects for Beginners with Source Code

ProjectPro

So, work on projects that guide you on how to build end-to-end ETL/ELT data pipelines. Big Data Tools: Without learning about popular big data tools, it is almost impossible to complete any task in data engineering. Also, explore other alternatives like Apache Hadoop and Spark RDD.

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A Beginner’s Guide to Learning PySpark for Big Data Processing

ProjectPro

PySpark SQL supports a variety of data sources, allowing SQL queries to be combined with code modifications, resulting in a powerful big data tool. PySpark SQL provides all existing and new users with consistent shared access to various data sources such as Parquet, JSON, and many others.

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Top 20 Data Analytics Projects for Students to Practice in 2023

ProjectPro

With more complex data, Excel allows customization of fields and functions that can make calculations based on the data in the excel spreadsheet. Data analytics projects for practice help one identify their strengths and weaknesses with various big data tools and technologies.

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Data Lake vs Data Warehouse - Working Together in the Cloud

ProjectPro

Analysis Layer: The analysis layer supports access to the integrated data to meet its business requirements. The data may be accessed to issue reports or to find any hidden patterns in the data. Data mining may be applied to data to dynamically analyze the information or simulate and analyze hypothetical business scenarios.