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Data Science Online Training With Placement

  • Velocity Infosystem
  • 214-xxx-xxxx
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      Data Science Online Training With Placement in Velocity Infosystem

      The course is designed to provide participants with practical knowledge and skills to solve complex data science problems. With experienced trainers and a flexible learning schedule, participants can tailor the training to meet their specific needs and goals.

      Collaborative Learning and Career Building

      At the end of most Data Science Online Training With Placement lessons, you'll have access to an online discussion. Engaging actively and constructively in these discussions can significantly boost your Data Science career development. By offering help or seeking assistance from the trainers, you’ll build meaningful relationships and create valuable professional connections.

      These discussions are more than just a conversation to share ideas—they're designed to accelerate your Data Science learning journey. That's why it is made an essential part of our courses: to support your growth and help you enhance your Data Science skills through collaboration and shared insights.

      Advantages of enrolling up for Data Science Online Training With Placement

      • Online Training
      • Classroom Training
      • Placements

      Details to know about Data Science Online Training With Placement

      Silicon Technologis is an innovative technology Consulting Firm which Provides World class training and assistance in placement.

      Online Training (Remote Training + Real-time exp) / In-Class Training available

      WEEKDAY Training:

      • Mon - Fri:(1.5 - 2.0) hrs. - morning/ evening Duration: 4-6 weeks for any platform.
      • Faculty is available every day in the evening (Mon - Fri), so you will have daily interaction with the faculty.
      • Easy and continuous learning, as we do small 1.5hr sessions every day, so easy to understand, easy to grasp and digest.
      • If you have any doubts, faculty first clears doubts for the first 15-30 mins every day and then starts the regular class.

      WEEKEND Training:

      • Sat Sun:4 - 6 hrs/day Duration: 4-6 weeks for any platform.
      • Faculty is practically available only in the weekends
      • Long sessions at a stretch for 4-6hrs on Saturday as well as Sunday, so you will be loaded with 8-12hrs of sessions in the weekend which you need to practice in weekdays without faculty guidance
      • You have to wait till weekend to get your doubts clarified, so if you are struck on mon/ tue, you need to wait idle till Saturday.

      ALL IT Training Courses

      SAP all Modules:- SAP MM, SAP PP, SAP FICO, SAP BW, SAP HR, SAP BASIS, SAP WM, SAP PM, SAP SD, SAP CRM, SAP APO, SAP SCM, SAP SRM, SAP Security, SAP ABAP, SAP XI, SAP EP, SAP HR-ABAP, SAPMDM, SAP BO, SAP BPC, SAP BODI, SAP is Retail, SAP PLM, SAP SM, SAP BI, SAP APO, ABAP Work Flow, ABAP HR Curriculum, New Treasury, Investment Management,E-Recuritment....

      Data Warehousing:- Informatica, Hyperion Essbase, Hyperion Planning, Business Objects, Cognos, Erwin, Data stage, AB-Initio, MSBI,BO/BI, Micro strategy, SAS, Tera data, Business Analytics , Cognos TM1, Hyperion interactive Report, Cognos planning and Budgeting

      Oracle:- Oracle 14g/11g ,Oracle 11i , Oracle APPS Technical, Oracle APPS Functional, Oracle APPS Financial, Oracle 14g/ 11g DBA, Oracle APPS DBA, Oracle APPS CRM, Siebel Analytics, Siebel CRM

      Microsoft Technologies: - .Net Technologies, Share Point (MOSS), Ajax, SQL Server Tuning, SQL Server DBA

      People Soft: - People Soft HRMS Technical, People Soft HRMS Functional, People Soft Financial

      Data Bases: - Oracle Forms and Reports, Oracle DBA, SQL Server, SQL Server Tuning.

      Testing Tools: - QA Tastings, Win Runner, Load Runner

      Network/System Administrations: - MSCE, CCNP, CCNE, LINUX, CCNA, Solaris

      Other Courses:- Adobe Flex, IBM Mainframes, web Methods, Tibco, Quality Assurance/ Business Analysis, Java/ J2EE.

      Date & timeModuleTraining titleModeTraining provider / feeRegister

      Data Science Online Training With Placement Provided By Velocity Infosystem | Data Science institutes
      Online
      500

      Data Science Online Training With Placement Provided By Velocity Infosystem | Data Science institutes
      Online
      500

      Data Science Online Training With Placement Provided By Velocity Infosystem | Data Science institutes
      Online
      500

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      Data Science FAQs

      What skills or experience should I have before starting to learn data science?

      Anyone can start learning data science without prior experience. Basic computer skills and an interest in data are helpful but not required. Those with some knowledge of statistics and coding may skip introductory courses.

      How can I determine if pursuing a career in data science is the right choice for me?

      Pursuing a career in data science is rewarding for analytical thinkers who enjoy coding and working with data. Data scientists need to learn various programming languages, use data systems and tools for analysis, and solve problems with data. Strong communication skills are crucial for collaborating with teams and sharing insights.

      Should I pursue a Data Science course, certification, or degree? How do I determine which option is best for me?

      Beginners should consider courses and Professional Certificates, which require less time and money. Start with "What is Data Science?" (part of Data Science Professional Certificate) or a course like "Introduction to Statistics." Both are great for career switchers to acquire the necessary skills for an entry-level job.

      What tasks and roles does a data scientist typically handle?

      A data scientist performs research to discover patterns in data, manages and examines both structured and unstructured information on a large scale, utilizes technology to forecast intricate data sets, and develops algorithms to gather and analyze data.

      What are the essential skills needed to become a data scientist?

      Data scientists possess extensive technical expertise in areas such as computer programming, data mining, artificial intelligence, and predictive analytics, enabling them to efficiently organize and analyze data. While technical proficiency is crucial in this field, it is equally important for data scientists to develop strong soft skills, particularly in effective communication.

      Is it challenging to learn data science?

      With Velocity Infosystem's resources, courses, and expert instructors, mastering data science becomes straightforward and self-paced. While a background in coding and mathematics can be beneficial, beginners with no prior experience can also quickly grasp the fundamentals through Velocity Infosystem's introductory courses or boot camps.

      What is the typical duration to finish a data science course?

      In an introductory course or boot camp, students can grasp the fundamentals of data science within a few weeks. Conversely, comprehensive programs such as undergraduate or master's degrees can span 2-3 years, offering a thorough exploration of core concepts, programming languages, and machine learning.

      Is data analytics the same as data science?

      Data Analytics and Data Science not exactly same. Data analytics focuses on analyzing datasets to find patterns and insights. Data science encompasses this and further uses programming, math, and statistics to identify trends, solve problems, and create solutions. Many data scientists start as data analysts.

      What topics are generally included in data science courses?

      Data science courses cover essential topics such as statistics, probability, data visualization, machine learning, data mining, and data wrangling. Advanced courses may include big data technologies, deep learning, and tools like Python, R, and SQL. Practical projects and case studies provide hands-on experience in applying these concepts to real-world problems.

      What career paths are available with a data science certificate?

      Earning a data science certificate can open numerous career opportunities in various industries, such as technology, finance, healthcare, and marketing. Common roles include data scientist, data analyst, machine learning engineer, and business intelligence analyst. These jobs involve analyzing large datasets, building predictive models, and supporting data-driven decision-making, significantly enhancing your career prospects and advancement potential.

      What coding languages are most commonly used in data science?

      Python is the most popular programming language for data science, known for its versatility and beginner-friendly nature. R is also popular, especially for statistical analysis. Proficiency in SQL is crucial, as it's used for managing data in relational databases. While Python, R, and SQL are the main languages in data science, languages like Java, C++, JavaScript, and Scala are also used. Familiarity with any programming language can help you quickly learn new ones.