Data Analytics

Congratulations on learning Advanced Excel! The next step depends on your specific goals and interests. Both Power BI and SQL are valuable skills that can complement your proficiency in Excel.

Here's a breakdown of each option to help you make an informed decision:

Power BI:
Power BI is a business intelligence tool developed by Microsoft. It enables users to transform raw data into interactive visualizations and reports, allowing for powerful data analysis and storytelling. Learning Power BI can enhance your ability to analyze and present data effectively, making it a valuable skill for data-driven decision-making. If you're interested in data visualization, creating interactive dashboards, and sharing insights with others, Power BI is an excellent choice.

SQL (Structured Query Language):
SQL is a programming language used for managing and manipulating relational databases. It allows you to query databases, retrieve and manipulate data, create and modify database structures, and perform data analysis tasks. Learning SQL can be beneficial if you work with large datasets, need to extract specific information from databases, or want to gain a deeper understanding of data management and database systems. SQL is widely used across industries and is considered a fundamental skill in data analysis and database management.

Consider the following factors when deciding which path to pursue:

1. Goals and Interests:-  Consider your career aspirations and the areas of data analysis that interest you the most. If you enjoy working with visualizations and presenting data in a user-friendly manner, Power BI might be a better fit. If you're more inclined towards data manipulation, querying databases, and working with large datasets, SQL could be the right choice.

2. Job Market and Industry Trends:-  Research the job market and industry trends to determine which skill is more in demand in your target industry. Assess job descriptions and requirements to identify the skills that align with your career goals.

3. Complementary Skills:-  Consider how Power BI or SQL can complement your existing skills, including Advanced Excel. Think about which skill will enhance your current skill set and make you more versatile in data analysis and reporting.

4. Personal Preference:-  Consider your personal preference and which skill you find more interesting and enjoyable to learn. This will help maintain motivation and engagement throughout the learning process.

Ultimately, both Power BI and SQL are valuable skills in the data analysis field. Assess your goals, interests, and the requirements of your target industry to make an informed decision. It's also worth noting that you can learn both skills over time if you find them both relevant to your career path.

Structured Learning Assistance - SLA institutes are known for their best coursework, experienced faculty, and strong industry connections, making them some of the best options for pursuing a data analytics course in India.

The reasons to study BPP University MSc Management with Data Analytics course are given below:

• Experience using numerous data tools, theories, and techniques to undertake practical data and analytical activities that add value to any business
• Focuses on practical knowledge and skills
• Continuation of learning as technology changes, thereby, helping students to challenge existing structures and processes
• Various opportunities in the areas like Business Analyst, Management Consultancy, Data, Marketing and Operations

In short, students are going to benefit from an integrated academic and professional education experience. Furthermore, practical learning shall allow students to critically analyze complex situations using various data analytics tools and data visualization techniques

Being an Alumnus of LPU, I would like to tell you that LPU offers numerous courses in Engineering disciplines.B.Tech. (Hons.) (Computer Science and Engg. - Data Science & Data Engineering) in tie up with Trans Org Analytics.

This programme aims towards creating skillful graduates with specialisation in Data Science and Data Engineering domain which emphasizes comprehensive knowledge through courses like data engineering, data visualization, data modeling, big data analytics and predictive analytics. The programme encompasses Data Science as an interdisciplinary, problem-solving oriented domain.

Salient features of the programme are as follow:

1.Specialization and Industry Certifications

a).12 - 16 Specialization courses.

b).Industry Certifications are integral part of curriculum. Indicative Certifications:

·         IBM Data Science Professional Certificate

·         Google Professional Data Engineer Certification

2.Seed Money

a).Upto Rs. 20,000/- per student for Designing a Programme/ Software/ Mobile App.

b).Rs. 2 Lacs to Rs. 5 Lacs per project for StartUp/ Entrepreneurial Venture.

c).Upto Rs. 10000/- Seed Grant for Innovation/ Research activities.

3.Courses by Industry Experts

a).Around 40% courses to be taught in online/ blended mode by Industry experts.

b).12 - 16 courses by Industry experts

3.Bootcamps/ Datathons:Well-structured and short term, intense training sessions designed to prepare students for the practical reality through bootcamps. Students will be required to participate in various national and international competitions like Datathons.

The Eligibility of the programme is 60% aggregate marks in 10+2 (with Physics, Mathematics and English) or equivalent, subject to qualifying LPUNEST or CUET.

Every year more than 500 companies visit to the campus for the student placement.The highest package offered to the student is Rs 62.72 LPA and the average package is Rs 1.6 LPA.These are the companies which visit to the university are CISCO, D.E Shaw India, Oracle, Cognizant, TCS, Tech Mahindra, Wipro, Amdocs, Capgemini, Verizon, Cmware, Virtusa, Accenture, SAP Labs, Acko Technology Services, Tivo Corporation, Informatica, Infineon, Goodera, Rentomojo, Qualcomm, Dell, Deloitte, Drishti Soft Solutions, Tek Systems, Interviewbit (Scaler), LG Soft India, PEGA, Tavisca Solution, Hitachi Consulting, Blujay, Tesssolve, Code Nation, ITC Infotech, MAQ Software and many more.

The Bapatla Engineering College cut off for 2023 will be based on the Andhra Pradesh Integrated Common Entrance Test (AP ICET). The exam will be conducted by Sri Venkateshwara University, Tirupati on May 25, 2023, and, May 26, 2023. For the B.Tech admission, the Andhra Pradesh Engineering Agriculture and Medical Common Entrance Test (AP-EAMCET) is also accepted. The exam for the engineering stream is expected to be held in July 2023. Based on the scores of this test, the college releases the cut off list. This is followed by the various counselling rounds conducted by the college. The Bapatla Engineering College cut off is determined by various factors. These include:

*The total number of candidates appearing for the TS EAMCET exam

*The total number of seats available for each course at the college

*The difficulty level of the exam

*Previous years’ cutoff trends 

Yes, the National Institute of Technology Tadepalligudem (NIT Andhra Pradesh) offers an M.Tech. programme in Computer Science and Data Analytics. This specialised programme equips students with skills in computer science, data analytics, and related areas. The curriculum covers data analytics, machine learning, data mining, and statistical modeling. Students learn about data processing, visualization, and its applications in domains like finance, healthcare, and cybersecurity. The faculty comprises experienced professors who provide guidance and mentorship. Graduates of this programme have opportunities in data analysis, data science, and business intelligence roles. For the most accurate and up-to-date information, it is advisable to visit the official NIT Tadepalligudem website or contact the institute directly.