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Data Science and Python Training Program for Everyone(Age=10yrs to 70yrs)

Apply Now Offer Price Rs.899 only. Use Coupon Code= intern899 Training Program Detail: Course Fee  Rs.999 Course Duration 1 Month= 20 classes Timings Monday to Friday  Training Modes Online & Classroom Training Program Description This externship is intelligently devoted to our passionate actors generally admitting and appreciating the very fact that they are on the trail of creating a career in the Data Science discipline. This Training is meant to make sure that also to gaining the needful theoretical knowledge, the compendiums gain sufficient hands- on practice of the word Data Science profession. relatively a training institute, the Training program is the right approach to prompt employment in Data Science. India is growing digitally every day. The demand for Data Science is growing big a day. The benefits of a knowledge Data Science Basic Training Program are in numerous, beginning with the chance to figure with professionals within the field, up to p

NIPPON INDIA FIXED HORIZON FUND-XLIII-SERIES 2 NFO FUND​

NIPPON INDIA Nippon Life India Asset Management Limited (NAM India) is the asset manager of Nippon India Mutual Fund (NIMF). The name of our Company was changed from 'Reliance Nippon Life Asset Management Limited' to ‘Nippon Life India Asset Management Limited’ and a fresh certificate of incorporation was issued by the Registrar of Companies, Mumbai on January 13, 2020. Nippon Life Insurance Company is the promoter of NAM India and currently holds 74.46% of its total issued and paid-up equity share capital. Equity Shares of NAM India are listed on BSE Limited and the National Stock Exchange of India Limited​.​​​​​​ NFO period: 03rd September – 07th September 2021 Highlights of the NFO: Scheme type – A close-ended income scheme Investment objective – The primary investment objective of the scheme is to seek to generate returns and growth of capital by investing in a diversified portfolio of the following securities maturing on or before the date of maturity of the s