What is the difference between data analytics and data science? Updated and #1 Institute for Data Analyst Course in Delhi, 110062. by SLA Consultants India
What is the difference between data analytics and data science? Updated and #1 Institute for Data Analyst Course in Delhi, 110062. by SLA Consultants India
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Data analytics and data science are two closely related fields that play a significant role in extracting insights from data, but they differ in their approaches, objectives, and methodologies. While both fields involve working with data, data analytics focuses on analyzing historical data to make informed business decisions, whereas data science incorporates advanced techniques such as machine learning and predictive modeling to uncover deeper patterns and trends. Understanding these differences is essential for professionals seeking to enter the world of data-driven decision-making. Data Analyst Course in Delhi
Data analytics primarily deals with processing, analyzing, and interpreting structured data to generate actionable insights. It involves using statistical techniques, data visualization tools, and business intelligence platforms to examine past trends and improve decision-making. Analysts use tools such as SQL, Python, Excel, Power BI, and Tableau to manipulate datasets and present findings in a meaningful way. Data analytics is widely used in industries like finance, marketing, healthcare, and e-commerce to optimize operations and enhance efficiency.
On the other hand, data science is a broader and more complex field that involves not only data analysis but also predictive modeling, artificial intelligence (AI), and machine learning (ML). Data scientists work with large and unstructured datasets, applying algorithms and programming skills to develop models that can forecast future trends and automate decision-making processes. Unlike data analysts, who primarily focus on past data, data scientists build predictive models using programming languages like Python and R, as well as frameworks like TensorFlow and PyTorch. Their work is crucial for businesses looking to implement AI-driven solutions and enhance data-driven strategies. Data Analyst Training Course in Delhi
SLA Consultants India, recognized as the #1 institute for Data Analyst Certification Course in Delhi, offers specialized training programs that cover both data analytics and essential data science concepts. Their comprehensive courses include hands-on training in Python, SQL, Power BI, and machine learning fundamentals, equipping students with practical skills for real-world applications. With experienced faculty, live projects, and career support services, SLA Consultants India prepares learners for successful careers in data analytics and related fields, ensuring they stay ahead in the competitive job market.
Data Analytics Training Course Modules
Module 1 - Basic and Advanced Excel With Dashboard and Excel Analytics
Module 2 - VBA / Macros - Automation Reporting, User Form and Dashboard
Module 3 - SQL and MS Access - Data Manipulation, Queries, Scripts and Server Connection - MIS and Data Analytics
Module 4 - MS Power BI | Tableau Both BI & Data Visualization
Module 5 - Free Python Data Science | Alteryx/ R Programing
Module 6 - Python Data Science and Machine Learning - 100% Free in Offer - by IIT/NIT Alumni Trainer
In conclusion, data analytics and data science are interconnected yet distinct disciplines. Data analytics focuses on past data to generate insights, while data science leverages advanced algorithms to predict future outcomes. Both fields offer promising career opportunities, and professionals looking to enter the data industry should choose a learning path based on their interests and career goals. SLA Consultants India’s industry-oriented Data Analyst Course programs provide aspiring data professionals with the necessary skills and expertise to excel in either field, making it a top choice for data analytics education in Delhi. For more details Call: +91-8700575874 or Email: hr@slaconsultantsindia.com Report this page