Salaries by job title at GEDU Global Education
Job title Total Pay Base | Additional
Sr Manager - Sales 1 Salaries submitted ₹7L-₹8L Create a job alert ₹7L-₹8L
Marketing Executive 1 Salaries submitted ₹5L-₹5L Create a job alert ₹5L-₹5L
Software Developer 1 Salaries submitted ₹4L-₹4L Create a job alert ₹4L-₹4L
technical officer recruitment
Data science is used to forecast future trends. Artificial intelligence anticipates user preferences and behavior. Machine learning enables algorithms to make informed guesses based on patterns they've discerned.
A data engineer is incomplete without programming skills in languages like Python and Scala. Python in particular is essential for data processing tasks as it is widely used due to the availability of extensive libraries like Pandas, NumPy, and PySpark.Systems analyst Jobs
The time required to become a data scientist varies depending on your prior knowledge and the amount of time you can dedicate each week. With full-time dedication (30-40 hours per week), you can aim to become proficient in three months, while part-time learners (15-20 hours per week) might take six months or more.
Python alone is not sufficient for Data Science for sure. However, it can help you to start your journey but as per market demand and growing technology, it is mandatory to have a hands-on practice that includes machine learning, statistics, data visualization, data analysis, web scraping, numeric computation, etc.
Fastest declining occupations
2023 National Employment Matrix title 2023 National Employment Matrix code Employment change, numeric, 2023–33
Loading and moving machine operators, underground mining 47-5044 -1.2
Patternmakers, metal and plastic 51-4062 -0.5
Telemarketers 41-9041 -18.3
Engine and other machine assemblers 51-2031 -10.4
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A common misconception is that all Business Analysts must have programming knowledge. In reality, many successful BAs come from non-technical backgrounds and excel by leveraging their analytical and interpersonal skills.Full Stack Developer Jobs
Is Python Required for Data Analysis? A comprehensive understanding of Python programming is extremely beneficial for data analysts. Employers likely expect data analysts to know how Python libraries work to simplify data-related tasks. Therefore, learning Python is a wise career choice.
Both fields pay higher compensation. So, you can make a remunerative career in any of these sectors. However, data scientists, especially machine learning engineers earn more than a lead DevOps engineer.
It's unlikely that artificial intelligence (AI) will completely replace all programmers and computer scientists in the future. Here's why: Creativity and Innovation: While AI can automate many tasks and assist in coding, it's challenging for AI to replicate human creativity and innovation.