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With just a few days left for the declaration of CBSE result 2018, Indian students must be devising their plan of action. Out of the several options available, the most common are: admission in DU for undergraduate courses, appear for other entrance exams, admission in renowned colleges and register for SAT if interested in studying abroad.

Engineering and Medical entrance exams: Majority of the students from science stream would have already taken IIT JEE, AIEEE, and AIPMT. Some of you must be gearing for BITSAT. So the strategy for cracking bitsat should involve solving lot of bitsat online sample papers and especially focusing on bitsat English section.

Delhi University: Lakhs of students apply to the premier most university in India. But with so many colleges, courses, entrance exams, last date of submitting forms, important documents and cutoffs, admission process can be very cumbersome. At times the students miss out information on important dates, cutoff, eligibility criteria etc. Though every year Delhi University sets up a counseling cell in selected colleges, it is not sufficient to bring a relief to the students. So one should plan in advance to avoid last minute hassles.

Studying Abroad: Those who could not make to their Dream College or course in India, can always go abroad. Be it USA or UK, overseas universities will add to your overall development and not just academic development. With most institutes offering excellent research facilities, renowned faculties and practical training, this education can give you an edge over others in your peer group.

Private Universities: For those who could not secure a high percentage and make it to premier colleges like IITs, DU, NITS, there are a plethora of private institutes offering engineering, medical, BBA, mass communication, science, and commerce courses. One may get a feeling that private institutes charge high fees without quality education, but it is not true for all private colleges.

Offbeat Careers: Class 12th students should understand that there is life beyond engineering, medical or BBA. From hotel management to shoe and game designing, from choreography to forest and wildlife conservation, from a writer to a career in animation, there are several options which can shape your future well.

Deciding which career path to pursue is one of the biggest decisions we make in our lives. It must be given due consideration and thought. Along with the excitement that comes with starting your journey to build your dream career, it is only natural for you to have many queries, doubts, and worries regarding your choice. Through this article we attempt to shed light on some common questions you would have in mind, if a career in law is of your interest. Before you narrow down to a list of law schools in Hyderabad, here are answers to some of your questions:

1. How to begin a career in the field of law in India?

If you are just finishing school with your 12th standard, you can take the Common Law Admission Test (CLAT) after clearing which you can pursue a 5 year B.ALL.B course. For those of you who have already completed their undergraduate education, a three year law course is apt for you.

2. What exams can I take to get admission to a good law college?

Common Law Admission Test (CLAT) – a common examination for aspiring law students, clearing which grants them admission into the best law schools of the country.
Symbiosis International University conducts SLAT (Symbiosis Law Admission Test) which is a common online test for admission to Symbiosis Law School, this test was earlier known as SET Law-Test.
AILET (All India Law Entrance Test) conducted by the National Law University, Delhi.
3. Does the bar examination have any bearing on my law career?

The All India Bar Exam is a qualification exam a law graduate is required to take upon completion of his/her course to be eligible to practice law in India.

4. What are the different areas to practice law in?

Litigation
Corporate Law
Public Prosecutor
Judicial Service
Intellectual Property Law
Legal Academia
NGOs and Think Tanks
LPO
Tax Law
Legal Journalism
5. Which is the best college to study lae from?

India has many colleges offering legal education. However it is only worth pursuing this degree if you choose the best college to study from. Symbiosis Law School(SLS) in Hyderabad is the one for you if you are looking for a Hyderabad law college. SLS takes pride in providing quality legal education that transforms young law students to confident and dynamic lawyers.

In today’s data-driven world, the demand for skilled data analysts is continuously rising. Data analysis plays a crucial role in various industries, from finance to healthcare, by helping businesses make informed decisions based on data insights. If you’re looking to kickstart your career in data analysis, mastering Python can be a game-changer. In this beginner’s guide, we’ll explore how Python can empower you in your journey towards becoming a proficient data analyst, with a focus on utilizing Python for data analysis in our Data Analyst Training Course.

Why Python for Data Analysis?
Python has emerged as one of the most popular programming languages for data analysis due to its simplicity, versatility, and extensive libraries tailored for data manipulation and analysis. With libraries like Pandas, NumPy, and Matplotlib, Python offers powerful tools for handling and visualizing data effectively. In our Data Analyst Training Course, we emphasize Python’s significance and provide hands-on experience in leveraging its capabilities for data analysis tasks.

Getting Started with Python:
If you’re new to Python, don’t worry! Python’s intuitive syntax makes it beginner-friendly. You can start by installing Python and an integrated development environment (IDE) like Anaconda, which comes bundled with essential libraries for data analysis. In our Data Analyst Training Course, we provide step-by-step guidance on setting up your Python environment and navigating basic programming concepts, ensuring a smooth learning curve for aspiring data analysts.

Exploring Data with Pandas:
Pandas is a powerful library in Python for data manipulation and analysis. It provides versatile data structures like DataFrames, making it easy to load, clean, and analyze datasets. In our Data Analyst Training Course, we delve into Pandas functionalities, teaching you how to perform essential data operations such as filtering, sorting, and aggregating data. Mastering Pandas is fundamental for anyone aspiring to excel in data analysis.

Analyzing Data with NumPy:
NumPy is another indispensable library in Python for numerical computing. It offers efficient data structures and functions for mathematical operations on arrays, enabling speedy computations. In our Data Analyst Training Course, we cover NumPy extensively, teaching you how to perform statistical analysis, array manipulation, and linear algebra operations. Understanding NumPy is essential for conducting in-depth data analysis and deriving meaningful insights from numerical data.

Visualizing Data with Matplotlib:
Data visualization is key to communicating insights effectively. Matplotlib, a popular plotting library in Python, empowers data analysts to create a wide range of visualizations, from simple line plots to complex heatmaps. In our Data Analyst Course, we focus on Matplotlib’s capabilities, guiding you through the process of creating insightful visualizations to explore and present your data effectively. Mastering data visualization with Matplotlib enhances your ability to convey compelling narratives from data analysis results.

Practical Applications in Data Analysis:
Python’s versatility extends beyond its capabilities in data manipulation and visualization. In our Data Analyst Training Course, we delve into real-world applications of Python for data analysis across various industries. From financial forecasting to healthcare analytics, Python enables data analysts to tackle diverse challenges and extract actionable insights from complex datasets. By exploring practical case studies and hands-on projects, you’ll gain valuable experience in applying Python to solve real-world problems in data analysis.

Advanced Topics and Further Learning:
While this beginner’s guide provides a solid foundation in using Python for data analysis, there’s always room for growth and exploration. Our Data Analyst Training Course offers opportunities to delve into advanced topics such as machine learning, natural language processing, and big data analytics using Python. By expanding your knowledge and skill set in these areas, you’ll be well-equipped to tackle more complex data analysis tasks and stay ahead in the rapidly evolving field of data analytics.

Embarking on a journey to become a proficient data analyst requires mastering essential tools and techniques for data manipulation, analysis, and visualization. Python, with its rich ecosystem of libraries tailored for data analysis, serves as a valuable asset in this endeavor. Through our Data Analyst Training Course, we equip aspiring data analysts with the knowledge and skills to leverage Python effectively for data analysis tasks. Whether you’re a beginner or looking to enhance your proficiency, Python opens doors to endless possibilities in the realm of data analysis. Start your journey today and unlock the potential of Python for data analysis!