Spoken English in Bangalore : Overview and Details

Are you looking to build solid tech skills and land a job as a skilled Data Scientist at one of the world’s best tech companies? Do you want to kickstart a career as a freelance Data Scientist helping companies harness the predictive power of data? Are you looking to launch a data service or product as an entrepreneur? Look no further than the KnowledgeHut Data Science Bootcamp.

Our revamped Data Science Bootcamp Program features expertly crafted streaming sessions. These sessions are not mere recordings; they are a culmination of meticulous planning and execution, ensuring the best possible learning experience. With content created by top instructors and program creators, our streaming sessions promise unparalleled clarity and engagement.

Whether you have some background in programming or none at all, our carefully curated bootcamp, designed by industry experts, will equip you with all the real-world tech skills you need to crack interviews and become a sought-after Data Scientist. By the end of the intense 31-week immersive learning program, you will learn to explore, clean, analyze and predict data, and showcase your skill in predictive modeling, pattern recognition, data visualization, and wrangling massive data sets to forecast trends and inform strategy.

The program’s key highlights include 185 hours of streaming sessions, 50 hours dedicated to live interactive doubt resolving, and 35 hours of master sessions for practical application and interview preparation. Our streaming sessions stand out for their expert design, engaging delivery by renowned instructors, rigorous quality assurance, rich content with illustrative examples, and a stellar average rating of 4.5/5. Doubt-resolving sessions serve as a cornerstone, addressing individual queries, fostering cohort learning, and encouraging meaningful interaction.

Master sessions focus on real-world project building and interview preparation. Additionally, instructor-led sessions, led by experts, offer insider tips and personalized learning. This Data Science Bootcamp is meticulously designed to prepare you for success in the tech industry, providing the skills and support needed for a thriving career as a self-sufficient and versatile software developer.

Dive into Python, SQL, data analysis, and statistical modeling. Then, branch into Machine Learning with algorithms of increasing complexity, from decision trees and random forests to natural language processing and neural networks. Master data mining techniques to get insights from data to solve real-world problems and learn to employ cutting-edge tools and technologies to build Deep Learning and Natural Language Processing models to analyze Big Data.

As the most comprehensive program available, not only will the KnowledgeHut Data Science Bootcamp make you confident of taking real-world Data Science problems head-on and coming up with the most appropriate solutions, but you will receive all the career and placement support you need to land a job as a Data Scientist. In addition, you will have built solid skills to take on a variety of job roles in the Data domain including Data Analyst, Data Engineer, Data Architect, Data Storyteller, Machine Learning Scientist, Machine Learning Engineer, Business Intelligence Developer, Database Administrator and Business Analyst among others.

Our power-packed project-based immersive learning program features best-in-class training, on-demand learning, plenty of hands-on exercises and assignments with Cloud Labs, industry case studies, real-world projects, career coaching, mock interviews, hackathons, guest lectures by industry experts as well as training to help you nail tough technical interviews with Data Structures and Algorithms.

Course Content

  • Lesson 1: Overview of SAP FICO module and its significance in financial management
  • Lesson 2: Navigation and user interface of SAP FICO
  • Lesson 3: Introduction to financial accounting and controlling processes
  • Lesson 1: Accounts payable (AP) processes and management
  • Lesson 2: Accounts receivable (AR) processes and management
  • Lesson 3: General ledger (GL) accounting and chart of accounts
  • Lesson 1: Asset master data management and depreciation calculation
  • Lesson 2: Asset acquisition, retirement, and transfer processes
  • Lesson 3: Asset reporting and analysis in SAP FICO
  • Lesson 1: Cost element accounting and cost center management
  • Lesson 2: Profit center accounting and internal orders
  • Lesson 3: Profitability analysis (CO-PA) and product costing
  • Lesson 1: Financial statement analysis and reporting
  • Lesson 2: Budgeting, planning, and forecasting in SAP FICO
  • Lesson 3: Financial consolidation and group reporting
  • Lesson 1: Integration between SAP FICO and other SAP modules
  • Lesson 2: Customizing SAP FICO for specific business requirements
  • Lesson 3: Change management and system maintenance in SAP FICO

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