Data Science Course In Bangalore-October
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Datamite offers data science courses in Bangalore with upcoming batch schedules in October 2023, requiring specific educational backgrounds, programming knowledge, and possibly standardized test scores for admission. Key job roles for graduates include data scientist, data analyst, and machine learning engineer, utilizing programming languages like Python, R, and SQL, alongside tools such as Jupyter Notebooks and RStudio. The course spans 8 months with both classroom training and project work, leading to a certification and potential internship opportunities.
Data Science Course In Bangalore-October
- 1. DataMites™ Data Science Course in Bangalore Upcoming Batch Schedules – October 2023 Toll Free Number: 1800 313 3434
- 2. DataMites™ Eligibility to pursue data science course Educational Background: Undergraduate Level: Many data science courses, especially bachelor's or diploma programs, may require a high school diploma or its equivalent as the minimum educational background. Graduate Level: For master's or postgraduate data science programs, a relevant bachelor's degree is typically required. This degree may be in fields such as computer science, mathematics, statistics, engineering, or a related discipline. Some programs may also consider applicants with degrees in non-technical fields but may require prerequisite coursework. Prerequisite Knowledge: Some data science programs expect students to have a basic understanding of mathematics and statistics. Proficiency in programming languages like Python and R may also be required or recommended. Standardized Tests: Some institutions may require standardized test scores like the GRE (Graduate Record Examination) for admission to graduate-level data science programs. Be sure to check the specific requirements of the institution you're interested in.
- 3. DataMites™ JobOpportunitiesinDataScience Data Scientist: Data scientists are responsible for collecting, processing, and analyzing large datasets to extract valuable insights and make data-driven decisions. They often use machine learning and statistical techniques to build predictive models. Data Analyst: Data analysts focus on analyzing data to provide actionable insights for businesses. They use tools and techniques to clean and visualize data, identify trends, and create reports to support decision-making. Machine Learning Engineer: Machine learning engineers develop and implement machine learning models and algorithms. They work on building and deploying predictive models for tasks like recommendation systems, image recognition, and natural language processing.
- 4. Programming Languages used in Data Science Course Python: Python is one of the most popular programming languages for data science due to its simplicity, extensive libraries, and community support. Libraries like NumPy, pandas, Matplotlib, and scikit-learn are commonly used for data manipulation, analysis, and machine learning. R: R is a language designed for statistical analysis and data visualization. It is often used in data science courses, especially those with a strong focus on statistics and data visualization. Packages like ggplot2 and dplyr are popular in R for data manipulation and visualization. SQL (Structured Query Language): SQL is essential for working with relational databases, which are commonly used in data analysis. Data science courses often cover SQL for data retrieval and manipulation.
- 5. Tools Used in Data Science course Jupyter Notebooks: Jupyter is an open-source web application that allows for interactive coding and data visualization. It's widely used for data exploration, analysis, and sharing code and results. RStudio: RStudio is an integrated development environment (IDE) specifically designed for the R programming language. It's a popular choice for courses that focus on R-based data analysis. Python IDEs: Depending on the course, various Python IDEs (Integrated Development Environments) may be used, including PyCharm, Visual Studio Code, and Spyder, among others.
- 6. Upcoming Batches in Bangalore • Training Dates: – 14th October 2023 (Weekend – Online) – 16th October 2023 ( Weekday – Online) – 16th October 2023 ( Weekday – Classroom) – 21st October 2023 (Weekend – Classroom) – 23rd October 2023 ( Weekday – Classroom) – 28th October 2023 ( Weekend – Online) – 30th October 2023 (Weekday – Online) • Classroom Training in Bangalore, Chennai, Pune, and Hyderabad Course Details • 8 Months Course • 4 Months of Classroom Training • 4 Month Project work • IABAC Certification • Internship Project
- 7. Datamites™ THANK YOU If you are looking for a Data Science course in Bangalore, please visit https://datamites.com/data-science-course-training- bangalore/